Careers

Qualification

Retired Revenue Officer with a designation not below the rank of Tehsildar / SDM, with extensive experience in revenue administration, land records, property rights, and land-related matters.

Key Responsibilities

• Guide and oversee verification of land ownership, title records, and property rights of PMAY beneficiaries.
• Resolve land-related disputes and ensure proper documentation for housing construction and approvals.
• Support ULBs in updating revenue records, GIS mapping, and property tax linkages for eligible beneficiaries.
• Conduct due diligence on land availability, encumbrance-free status, and land suitability for BLC projects.
• Assist in beneficiary validation, ensuring prevention of duplicate or ineligible claims.
• Coordinate with ULBs, revenue authorities, and other stakeholders for timely resolution of land and beneficiary-related issues.
• Provide guidance on revenue procedures, land documentation, and statutory requirements relevant to PMAY 2.0 implementation.

Preferred Experience

• Retired Tehsildar / SDM or above with substantial experience in Revenue Administration.
• Experience in land records, property verification, land disputes, beneficiary validation, and government housing schemes.
• Experience working with ULBs / Municipal Corporations / State Government departments is preferred.
• Prior experience in PMAY, urban development, GIS-based land records, or property tax systems will be an added advantage.

Skills & Competencies

• Strong knowledge of Revenue Laws, Land Records, Property Rights, and Land Administration.
• Excellent documentation, verification, analytical, and problem-solving skills.
• Strong coordination and communication skills with government departments and ULB stakeholders.
• Sound understanding of land due diligence, encumbrance verification, and beneficiary eligibility.

Role Overview

The Junior MIS Expert will support ULBs in real-time monitoring, database maintenance, MIS activities, reporting and geotagging-related activities.

Key Responsibilities

• Support ULBs for real-time monitoring.
• Update and maintain databases for physical and financial progress of work.
• Maintain and support MIS activities.
• Create and generate reports in a timely and accurate manner.
• Undertake activities related to geotagging, including face authentication of beneficiaries, activation/deactivation of supervisor/surveyor IDs, and supervision of moderation of geotagged projects/houses.
• Undertake any allied work assigned by ULBs, including work other than project work.

Requirements

• B.Com / BCA / PGDCA or equivalent.
• 3 years of experience in a similar field.
• Working knowledge of contemporary software / computer proficiency.

Role Overview

We are looking for a CAD Design & GD&T Engineer to support Cobot Cell and AMR design engineering, including 2D/3D layout development, mechanical/fixture/tooling design and creation of manufacturing-ready drawings with accurate GD&T.

Key Responsibilities

• Develop 2D/3D plant layouts integrating cobots/robots, conveyors, fixtures, safety fencing and operator workstations.
• Design mechanical structures, fixtures and tooling, considering structural strength, installation, mobility, height adjustment and maintenance access.
• Design EOAT, grippers, vacuum tooling and fixtures based on part geometry, weight and process requirements.
• Select appropriate pneumatic, electric and vacuum actuation and standard components.
• Create detailed 2D part, assembly and sub-assembly drawings from 3D CAD models, including BOMs, sections, details, notes and revision history.
• Apply GD&T, datum schemes and Datum Reference Frames (DRFs) in accordance with ASME Y14.5 / ISO 1101.
• Perform tolerance stack-up analysis and support tolerance allocation for fit, form and function.
• Review supplier/vendor drawings for GD&T accuracy and design-intent compliance.
• Participate in DFM/DFA, FAI and PPAP activities and dimensional inspection reviews.
• Manage drawing revisions/releases through PLM/PDM systems and coordinate with design, manufacturing, quality and suppliers.
• Resolve engineering queries and support timely delivery of drawings and project deliverables.

Mandatory Technical Skills

• Strong hands-on experience in 3D CAD modelling and mechanical drafting.
• Good knowledge of GD&T and engineering drawing standards.
• Strong understanding of ASME Y14.5 / ISO 1101, datum structures and tolerance practices.
• Ability to interpret complex assembly drawings and technical specifications.
• Good understanding of manufacturing processes and DFM principles.
• Experience with one or more: NX, CATIA, SolidWorks, Creo, AutoCAD.
• Strong attention to detail and ability to work with cross-functional teams.

Preferred Skills

• Experience in Cobot/Robot cell, AMR, fixture, tooling or EOAT design.
• Experience with 1D/2D/3D tolerance stack-up.
• Exposure to Teamcenter / AWC / Windchill / SolidWorks PDM.
• Knowledge of machining, sheet metal, casting or injection moulding.
• ASME GDTP certification is an advantage.

Candidate Profile

Mechanical Design/CAD Engineer with 3–6 years of relevant experience, strong CAD and GD&T fundamentals, manufacturing knowledge and the ability to work effectively with design, manufacturing, quality and supplier teams in a fast-paced engineering environment.

Key Skills: CAD Design | Mechanical Design | GD&T | ASME Y14.5 | ISO 1101 | NX | CATIA | SolidWorks | Creo | AutoCAD | Teamcenter | Tolerance Stack-up | Cobot | AMR | Fixture | Tooling | EOAT | DFM/DFA | FAI | PPAP

Project: 12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a DPA & DVA Engineer to support ATP products using virtual build and dimensional variation simulation to assess assembly feasibility, dimensional variation, fit, function and appearance before physical builds.

Key Responsibilities

• Perform Digital Pre-Assembly (DPA) feasibility checks for fitment, assembly sequence, accessibility, clearance, interference and installation/removal.
• Conduct static and dynamic clash checks for parts, tools, fixtures, fasteners and the surrounding vehicle environment.
• Perform virtual ergonomic checks covering operator reach, hand clearance, line of sight, posture, tool accessibility and assembly/service feasibility.
• Interpret GD&T per ASME Y14.5 and review datum schemes; identify Critical-to-Function (CTF) and Critical-to-Quality (CTQ) characteristics.
• Perform dimensional stack-up and Monte Carlo/statistical variation analysis to predict gap, flushness and fit outcomes.
• Validate simulation predictions against CMM, optical and laser scanning data and refine variation models.
• Identify high-risk dimensional conditions and recommend design/process changes to reduce variation and improve fit and finish.
• Support DFMEA, DVP&R, PPAP, virtual build and launch readiness reviews; prepare issue reports and track issues through closure.

Mandatory Technical Skills

• Strong knowledge of GD&T, datum schemes and statistical tolerancing methods including worst-case, RSS and Monte Carlo.
• Hands-on experience with DVA software such as 3DCS, VSA, CETOL or similar.
• Proficiency in CAD software such as CATIA, NX or Creo for datum and tolerance review.
• Familiarity with CMM, laser scanning and optical metrology for simulation validation.
• Good understanding of virtual build, assembly feasibility and dimensional variation analysis.
• Strong analytical, problem-solving and cross-functional communication skills.

Preferred Skills

• Automotive experience in Body-in-White, closures, interior trim or powertrain applications.
• Knowledge of Six Sigma / DMAIC methodology.
• Familiarity with Teamcenter / Windchill and drawing release processes.
• ASME GDTP certification is an advantage.

Candidate Profile

DVA/Dimensional Engineering professional with 3–5+ years of relevant experience, strong GD&T and statistical tolerancing fundamentals, hands-on variation simulation capability and the ability to communicate dimensional risks and countermeasures effectively.

Key Skills: DPA | DVA | GD&T | ASME Y14.5 | 3DCS | VSA | CETOL | CATIA | NX | Creo | Monte Carlo | Tolerance Stack-up | CMM | Laser Scanning | Virtual Validation

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a Design Engineer to develop mechanical solutions for automation fixtures, Cobot/AMR systems, plant layouts and End-of-Arm Tooling (EOAT) for manufacturing and material-handling applications.

Key Responsibilities

• Design Cobot/robot pedestals, mounting structures, risers, enclosures and mobile platforms considering structural strength, stability and maintenance access.
• Design AMR/AGV fixtures, payload transfer tops, docking stations, lift decks, roller beds and towing mechanisms.
• Design mechanical interfaces for mobile cobots/manipulators considering center-of-gravity stability during transit and arm articulation.
• Develop 2D/3D digital manufacturing cell and plant layouts integrating robots, AMRs, conveyors, safety systems and operator workstations.
• Design EOAT, smart grippers, vacuum tooling, fastening heads, automatic tool changers and collision protection systems.
• Create parametric 3D CAD models, assemblies, GD&T-compliant drawings, EBOMs and fabrication documentation.
• Perform kinematic sweeps, collision/clash analysis and reachability studies using applicable simulation/offline programming tools.
• Support DFMEA, Virtual Build Events, prototype assembly, shop-floor cell integration and plant commissioning.

Mandatory Technical Skills

• Strong hands-on experience in 3D CAD modelling using SolidWorks, CATIA, Siemens NX, Creo or AutoCAD.
• Mechanical design experience in fixtures, tooling, automation or robotic applications.
• Understanding of robotic/cobot integration, AMR/AGV mechanical interfaces and manufacturing automation.
• Knowledge of pneumatic, electric servo and vacuum actuation technologies.
• Good understanding of manufacturing processes, GD&T and engineering drawings.
• Strong analytical, problem-solving and cross-functional communication skills.

Preferred Skills

• Experience with Process Simulate, RoboDK, DELMIA or Siemens Tecnomatix.
• Experience with SMC, Festo, Schunk, OnRobot or Robotiq components.
• Knowledge of ISO 10218 and ISO/TS 15066 / collaborative robot safety requirements.
• Experience with humanoid robot workplace adaptation is an advantage.

Candidate Profile

Mechanical Design Engineer with 3+ years of relevant experience, strong CAD and mechanical design fundamentals and hands-on exposure to robotics, automation fixtures, EOAT or AMR/Cobot applications.

Key Skills: Mechanical Design | CAD | SolidWorks | CATIA | NX | Creo | AutoCAD | Cobot | AMR/AGV | EOAT | Grippers | Fixtures | Tooling | Robotics | GD&T

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a Process Simulation Engineer to lead virtual process simulation and Digital Pre-Assembly activities for AMRs, cobots and advanced manufacturing applications.

Key Responsibilities

• Develop virtual manufacturing cells, robot paths and reach studies using Process Simulation software.
• Simulate AMR navigation paths, fleet traffic flow and material-handling movement.
• Perform cobot/robot kinematic, reach and motion studies for manufacturing tasks.
• Develop end-effector/gripper clouds for fixture and tooling development.
• Assess cycle time including AMR travel time, robot/cobot task time and overall process completion time.
• Perform DPA checks for fitment, clearance, accessibility and interference and identify No-Go conditions.
• Modify robot/AMR paths and cobot task sequences based on layout, process, CAD and facility feedback.
• Support Virtual Build Events with station details, simulation videos, engineering presentations and documented outcomes.
• Evaluate multiple product/process variants, facility interferences and AMR traffic congestion.

Mandatory Technical Skills

• Hands-on experience in Process Simulation / Process Simulate and Siemens Teamcenter.
• Experience with AMR, robotics, cobots and manufacturing automation.
• Good understanding of material handling, assembly operations and automated work cells.
• Understanding of robot/AMR/cobot mounting, navigation strategy and facility/locator drawings.
• Good knowledge of Bill of Process (BOP) and Bill of Design (BOD) for automated work cells.
• Good communication and cross-functional collaboration skills.

Preferred Skills

• AutoCAD and Tc VisMockup / Teamcenter Visualization.
• Camtasia and RoboDK.
• Knowledge of ISO 10218 and ISO/TS 15066.
• Experience with Virtual Build Events and digital manufacturing feasibility.

Candidate Profile

Process Simulation Engineer with 3–5+ years of relevant experience, strong Process Simulate/Teamcenter capability and practical exposure to AMR, cobot, robotics and manufacturing automation.

Key Skills: Process Simulation | Process Simulate | Teamcenter | VisMockup | AMR | Cobot | Robotics | Kinematics | Reach Study | Cycle Time | Navigation | Virtual Build | BOP | BOD

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a BOM Management & Manufacturing Process Planning Engineer to manage EBOM-to-MBOM transformation, BOM configuration and BOP authoring using Siemens Teamcenter for automotive ATP products.

Key Responsibilities

• Manage and reconcile EBOM, MBOM and product structures in Teamcenter, ensuring part accountability, revision control, variant applicability and effectivity.
• Allocate parts, fasteners, subassemblies and bulk materials to plants, lines, stations and operations; create phantom and kitting structures.
• Manage 100%/150% BOMs, option filtering, rule logic and vehicle variant applicability.
• Process ECN/ECR/WERS changes and assess impact on MBOM, plant operations and launch implementation.
• Author BOPs, process routings, standard operation sequences and station-level work breakdown in Teamcenter.
• Allocate plant assets, fixtures, torque tools, robotic cells, weld tools and operator resources to operations.
• Generate and update SWI, SOS, OIS and visual assembly sequence guides linked to MBOM parts.
• Perform cycle-time allocation, line balancing, bottleneck analysis and work-element redistribution to meet JPH targets.
• Collaborate with DPA, DVA and digital manufacturing teams to validate BOP sequence feasibility and visual clearance.

Mandatory Technical Skills

• Strong hands-on experience with Siemens Teamcenter / TCe / TCM / Process Planner / EasyPlan.
• Core automotive experience in BOM Management, MBOM transformation and BOP authoring.
• Knowledge of FEDE/WERS, automotive product structures and vehicle variant management.
• Good knowledge of line balancing, takt time, cycle time and manufacturing process planning.
• Advanced Microsoft Excel skills including VLOOKUP and macros.
• Working knowledge of Lean Manufacturing, MOST/MODAPTS and PFMEA.

Preferred Skills

• Teamcenter Visualization / VisMockup.
• Process Simulate or SAP exposure.
• Experience with DPA, DVA or digital manufacturing integration.
• Experience supporting global automotive assembly plants.

Candidate Profile

Automotive BOM/Process Planning Engineer with 3–6+ years of relevant experience, strong Siemens Teamcenter capability and hands-on knowledge of MBOM, BOP, variant management and vehicle assembly processes.

Key Skills: BOM Management | EBOM | MBOM | Teamcenter | TCe | TCM | Process Planner | EasyPlan | BOP | FEDE | WERS | Variant Management | Line Balancing | Takt Time | PFMEA

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a CAE Simulation Engineer to provide advanced virtual validation combining structural FEA, durability, NVH and Multi-Body Dynamics (MBD) for automotive components and mechanisms.

Key Responsibilities

• Perform linear and non-linear static/dynamic FEA for components and sub-assemblies under operational, test and misuse load cases.
• Evaluate stress, strain, deflection, contact pressure, bolt preload, plastic deformation and factor of safety.
• Perform modal, vibration/frequency response and NVH analysis.
• Conduct fatigue life and durability predictions using multi-axial fatigue tools.
• Build rigid and flexible MBD/kinematic models for mechanisms such as suspension, hinges, tailgates, seats and steering systems.
• Calculate dynamic reaction forces, joint moments, accelerations, swept volumes and envelope clearances.
• Perform FEA–MBD co-simulation and load cascading; apply MBD-extracted loads as FEA boundary conditions.
• Perform topology, topometry and shape optimization for lightweighting while preserving stiffness and structural targets.
• Correlate simulation results with physical test/telemetry data and recommend CAD redesigns and countermeasures.

Mandatory Technical Skills

• Hands-on experience covering both FEA and MBD domains.
• Strong knowledge of continuum mechanics, rigid/flexible body kinematics and modal analysis.
• FEA tools such as Abaqus, Nastran, OptiStruct, ANSYS Mechanical or LS-DYNA.
• Pre/Post tools such as HyperMesh/HyperView, ANSA/META or ANSYS Workbench.
• MBD tools such as MSC Adams, MotionSolve, SIMPACK or RecurDyn.
• Durability tools such as nCode DesignLife or fe-safe.

Preferred Skills

• SimSolid.
• Experience with flexible-body methods such as CMS / Craig-Bampton.
• Automotive/mobility virtual validation experience.
• Knowledge of ASME/ISO material characterization and virtual validation standards.

Candidate Profile

CAE Simulation Engineer with 3–6+ years of hands-on FEA and MBD experience, strong simulation fundamentals and the ability to connect dynamic system behaviour with structural and durability performance.

Key Skills: CAE | FEA | MBD | Linear/Non-Linear FEA | Durability | NVH | Modal Analysis | Abaqus | Nastran | ANSYS | HyperMesh | MSC Adams | MotionSolve | nCode | fe-safe

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for a DFM/DFMA Engineer to perform manufacturing feasibility, assembly optimization, tooling feasibility and tolerance/GD&T reviews for automotive products.

Key Responsibilities

• Perform DFM/DFA analysis on 3D CAD models during Concept, Detailed Design and Pre-Production phases.
• Evaluate draft angles, wall thickness, parting lines, ribs, undercuts, bend radii, draw depths and weld flanges across relevant manufacturing processes.
• Assess manual and automated assembly feasibility, operator hand clearance, tool access and ergonomics.
• Drive part-count reduction, modularization, fastener standardization, snap-fit integration and Poka-Yoke design.
• Review 2D drawings and 3D PMI for GD&T compliance and perform 1D/2D/3D tolerance stack-up analysis.
• Identify variation risks impacting fit, flush, gap and functional assembly tolerances.
• Coordinate with die designers, mold toolmakers, weld fixture designers and automation engineers to validate tooling and clamping feasibility.
• Feed manufacturing failure modes into DFMEA/PFMEA and prepare DFM scorecards, CAD mark-ups and issue logs.
• Participate in cross-functional design reviews with Product Development, Manufacturing Engineering and Tier-1 suppliers.

Mandatory Technical Skills

• Strong DFM/DFMA and automotive manufacturing/process engineering experience.
• Working knowledge of GD&T / ASME Y14.5 and tolerance stack-up.
• Proficiency in CATIA V5/V6, Siemens NX, Creo or SolidWorks.
• Knowledge of manufacturing processes including stamping, molding, casting and sheet metal.
• Working knowledge of DFMEA, PFMEA, APQP/PPAP and Six Sigma.
• Strong analytical and cross-functional communication skills.

Preferred Skills

• 3DCS, VSA, VisMockup, DFMPro, Moldflow or AutoForm.
• Tooling feasibility and manufacturing process engineering experience.
• Knowledge of Ford Engineering Standards (W-STD).
• Experience with Poka-Yoke and assembly optimization.

Candidate Profile

DFM/DFMA Engineer with 3–5+ years of automotive experience, strong manufacturing feasibility and GD&T fundamentals and the ability to communicate data-driven manufacturability decisions.

Key Skills: DFM | DFMA | DFA | GD&T | ASME Y14.5 | CATIA | NX | Creo | SolidWorks | 3DCS | VSA | DFMEA | PFMEA | APQP | PPAP | Manufacturing Feasibility

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for an Electrical Wiring Harness Design Engineer to develop and validate automotive wiring harnesses covering 3D routing, electrical schematics, DMU validation, component selection and supplier release packages.

Key Responsibilities

• Develop and optimize 3D wiring harness routing and packaging across vehicle zones.
• Define bundle diameters, branches, service loops and protective coverings.
• Create and validate circuit schematics, wiring diagrams, harness formboard and 2D manufacturing drawings.
• Extract and manage BOMs, connector pinouts, splice schedules and retention hardware.
• Select connectors, terminals, cavity plugs, relays, fuses, grommets and protective components based on application requirements.
• Perform DMU clearance, clash/interference and dynamic buckle analysis for harness flex zones.
• Generate supplier data exports and review supplier manufacturing drawings through PEI/DFM processes.
• Prepare and release milestone packages including TGA, VC, PPC and TR05 and archive CAD assets in PLM systems.
• Track design changes, issues and release activities and support cross-functional root-cause resolution.

Mandatory Technical Skills

• Strong automotive wiring harness / EDS design experience.
• 3D routing experience in CATIA V5/V6, 3DEXPERIENCE or NX Routing.
• Electrical schematic experience with Siemens Capital / Capital XC or similar tools.
• Knowledge of Teamcenter/Enovia and automotive EDS release processes.
• Understanding of harness packaging, DMU/clash analysis and dynamic flex/buckle behaviour.
• Knowledge of GD&T, DFMEA and applicable automotive wiring standards.

Preferred Skills

• Siemens Capital Harness XC / Logic / Integrator.
• Cerio or SolidWorks Electrical.
• NPDM/Enovia exposure.
• Experience with BCM, EMS, ABS, ADAS or Airbag systems.
• Knowledge of USCAR / Ford W-STD.

Candidate Profile

Automotive Wiring Harness/EDS Engineer with 3–5+ years of relevant experience, strong 3D routing and schematic capability and hands-on experience in vehicle electrical packaging and release processes.

Key Skills: Wiring Harness | EDS | CATIA | 3DEXPERIENCE | NX Routing | Siemens Capital | Capital XC | Electrical Schematics | 3D Routing | DMU | Clash Analysis | Dynamic Buckle | Teamcenter | Enovia

Project

12 months | Work Model: Engineering support / project-based

Role Overview

We are looking for Controls Engineers to support advanced controls engineering for FORD manufacturing cells, including PLC programming, collaborative robot programming, virtual commissioning, functional safety, HMI development and virtual validation before physical deployment.

Key Responsibilities

• Program, configure and troubleshoot Siemens S7-1500 / S7-1500F PLCs covering standard and safety logic; support Rockwell PLC programming where applicable.
• Develop motion paths, safety zones, tool control and interface logic for FANUC, ABB and Kawasaki robots/cobots.
• Develop modular, reusable and well-commented PLC logic compliant with Ford / Plant Controls Standards.
• Integrate PLC, robot, HMI and peripheral-device controls in Virtual Commissioning environments using digital models.
• Build kinematic behaviours, sensors, actuators and physics into 3D models and establish SiL / HiL connectivity.
• Conduct virtual factory acceptance testing including automatic/manual/dry-run cycles, safety interlocks, E-stops, collaborative speed/zone changes and fault-injection scenarios.
• Configure and verify PROFINET, PROFIsafe, OPC UA and TCP/IP interfaces between PLCs, robots, HMIs and peripheral devices.
• Develop HMI/operator interfaces using Siemens WinCC and/or FactoryTalk View; perform code reviews and static checks.
• Prepare vFAT reports, issue lists, burn-down updates, architecture/interface documentation, code backups and operator/maintenance troubleshooting guides.

Mandatory Technical Skills

• Strong hands-on experience with Siemens S7-1500 / S7-1500F and TIA Portal / STEP 7; Rockwell PLC experience for applicable roles.
• Experience with FANUC, ABB and/or Kawasaki robot/cobot programming and safety functions.
• Hands-on experience in Virtual Commissioning / simulation using Siemens Process Simulate, MCD, SIMIT or PLCSIM Advanced.
• Knowledge of functional safety, interlocks, E-stops, PROFIsafe and collaborative robot safety requirements.
• Experience with industrial communication protocols including PROFINET, OPC UA and TCP/IP.
• Ability to develop, troubleshoot, validate and document controls software in a manufacturing environment.

Preferred Skills

• Experience with FANUC DCS/TP, ABB SafeMove/RAPID and Kawasaki Cubic-S.
• Experience with Siemens WinCC Unified / WinCC Comfort / FactoryTalk View.
• Knowledge of ISO/TS 15066 and Ford FAST / GVOSS standards.
• Experience in virtual FAT, SiL/HiL and digital manufacturing / virtual commissioning.

Candidate Profile

Controls / Automation Engineer with hands-on PLC, robot and virtual commissioning experience, strong troubleshooting capability and the ability to work across controls, robotics, simulation and manufacturing teams.

Key Skills: PLC Programming | Siemens S7-1500 | TIA Portal | Rockwell PLC | FANUC | ABB | Kawasaki | Cobot | Robot Programming | Process Simulate | MCD | SIMIT | PLCSIM Advanced | Virtual Commissioning | Functional Safety | PROFIsafe | PROFINET | HMI | WinCC | OPC UA

Project: Controls engineering support | Work Model: Engineering support / project-based

Role Overview

We are looking for Controls Engineers to design, develop, test and virtually validate the complete automation controls architecture for the FORGE manufacturing cell, covering PLCs, collaborative robots, virtual commissioning, safety, HMI and validation.

Key Responsibilities

• Program and configure Siemens S7-1500 / S7-1500F PLCs for standard and safety logic using TIA Portal / STEP 7.
• Develop motion paths, safety zones, tool control and interface logic for FANUC and ABB collaborative robots.
• Develop modular, reusable and well-commented PLC logic in compliance with Ford / Plant Controls Standards.
• Integrate PLC, robots, HMI, sensors and actuators in a Virtual Commissioning environment using digital models.
• Build kinematic behaviours, sensors, actuators and physics into supplied 3D CAD models.
• Establish SiL / HiL connectivity and conduct comprehensive virtual factory acceptance testing.
• Validate automatic, manual and dry-run cycles, safety interlocks, E-stops, collaborative speed/zone changes and fault-injection scenarios.
• Configure and verify PROFINET, PROFIsafe, OPC UA and TCP/IP communications between PLCs, cobots, HMI and peripheral devices.
• Develop HMI/operator interfaces using Siemens WinCC; perform code reviews, static checks and naming-convention audits.
• Prepare vFAT execution reports, weekly progress updates, open-issue lists, burn-down charts and complete project handover documentation.

Mandatory Technical Skills

• Strong hands-on experience with Siemens S7-1500 / S7-1500F and TIA Portal / STEP 7 Professional / Safety Advanced.
• Experience with FANUC CRX/CR Series and/or ABB GoFa / CRB / YuMi collaborative robots.
• Experience with Siemens Tecnomatix Process Simulate, MCD, SIMIT or PLCSIM Advanced.
• Knowledge of functional safety, safety interlocks, E-stops, PROFIsafe and collaborative robot safety.
• Working knowledge of PROFINET, OPC UA and TCP/IP industrial communications.
• Ability to troubleshoot, validate and document automation controls in a manufacturing environment.

Preferred Skills

• FANUC DCS/TP and ABB SafeMove/RAPID experience.
• Experience with Siemens WinCC Unified / WinCC Comfort.
• Knowledge of ISO/TS 15066 and Ford Controls Standards.
• Experience in virtual FAT, SiL/HiL and digital manufacturing / virtual commissioning.

Candidate Profile

Controls / Automation Engineer with 2–6 years of relevant experience, strong Siemens PLC and robot programming fundamentals, virtual commissioning knowledge and the ability to work effectively with controls, robotics, simulation and manufacturing teams.

Key Skills: PLC Programming | Siemens S7-1500 | TIA Portal | FANUC | ABB | Cobot | Robot Programming | Process Simulate | MCD | SIMIT | PLCSIM Advanced | Virtual Commissioning | Functional Safety | PROFIsafe | PROFINET | WinCC | OPC UA

Project: Forge Controls Activity | Work Model: Engineering support / project-based

Role Overview

We are looking for Controls / PLC Engineers to provide structured Level 1, Level 2 and Level 3 support for FAST ticketing operations, covering PLC/HMI troubleshooting, robotics interfaces, CNC, IIoT/MQTT and controlled escalation to the Core Controls Engineering Team.

Key Responsibilities

• Review FAST incidents and service requests, validate ticket completeness and capture plant, line/station, equipment, alarms, logs, screenshots, PLC/HMI versions and troubleshooting history.
• Classify tickets by category, severity, support level, ownership and escalation requirement; provide first response and maintain ticket updates through closure.
• Execute approved troubleshooting playbooks, health checks, alarm/log reviews, configuration verification and basic connectivity/interface checks.
• Diagnose controls systems across PLC, HMI, field devices, industrial communications, robotics interfaces, IIoT/MQTT components and manufacturing applications.
• Perform approved PLC/HMI program corrections, recurring-defect analysis, root-cause analysis and corrective/preventive action recommendations.
• Support Fanuc and ABB robot-related controls queries and coordinate with robot engineering / Core Controls teams as required.
• Support CNC-related issues including Siemens SINUMERIK ONE and controls integration within approved scope.
• Troubleshoot controls-side symptoms for OMS, QTS/QLSCM, VTAG/GPTS and MQTT/IIoT interfaces and coordinate with resolver groups.
• Prepare technically complete escalations including reproduction steps, logs, code/configuration deltas, impact assessment, rollback considerations and test evidence.
• Follow change-management, access-control, plant-safety, cybersecurity, backup, validation, rollback and approval requirements; no unapproved production changes.

Mandatory Technical Skills

• Strong PLC troubleshooting/programming experience, preferably Siemens PLC and FAST-standard controls environments.
• Experience with PLC/HMI applications, industrial communications and manufacturing automation support.
• Ability to diagnose alarms, logs, configuration, connectivity and controls integration issues.
• Experience with Fanuc and/or ABB robot interfaces; Senior roles additionally require Siemens CNC programming exposure.
• Strong ticket/case management, documentation, RCA and technical escalation skills.
• Ability to work in Level 1/2/3 support models and coordinate with cross-functional resolver groups.

Preferred Skills

• Experience with Siemens PLC programming and FAST standards.
• Experience with Siemens SINUMERIK ONE / CNC programming.
• Knowledge of Fanuc and ABB robots, Cognex / Keyence cameras and Siemens VFDs.
• Exposure to MQTT / IIoT gateways, MES QA servers and VTAG server.
• Experience with 5D / 8D corrective-action reporting and manufacturing controls support.

Candidate Profile

Controls / PLC Engineer with 2–6 years of relevant experience, strong troubleshooting and programming fundamentals, manufacturing automation knowledge and the ability to manage FAST tickets, perform RCA and escalate complex issues through controlled support processes.

Key Skills: PLC Programming | Siemens PLC | FAST Standards | PLC/HMI Troubleshooting | Fanuc | ABB | CNC | SINUMERIK ONE | Industrial Communications | MQTT / IIoT | Cognex | Keyence | VFD | RCA | 5D / 8D | Level 1/2/3 Support | Ticket Management

Project: 12 months | Work Model: Controls / PLC engineering support

Role Summary

We are seeking an Autonomous Vehicle Simulation Engineer to develop and validate Software-in-the-Loop (SIL) simulation models for vehicle movement and path-following applications in manufacturing environments. The role requires hands-on expertise in vehicle dynamics, model-based development and automated validation. The engineer will collaborate with multidisciplinary infrastructure, safety, manufacturing and software teams to support reliable pre-deployment validation of vehicle-level software releases.

Key Responsibilities

• Own simulation development from concept, architecture and planning through validation and delivery.
• Design virtual environments that reproduce wireless trajectory commands, vehicle path-following manoeuvres and plant-level operating constraints.
• Develop real-time motion models for lateral and longitudinal vehicle control with high positional accuracy.
• Create factory-floor scenarios covering traffic, layouts, infrastructure constraints, commissioning, calibration and pre-deployment validation.
• Build efficient, maintainable and well-tested simulation models and scripts using MATLAB/Simulink, Python or equivalent toolchains.
• Develop automated metrics for simulation fidelity, feature performance and test-result extraction.
• Validate simulated behaviour against physical test-vehicle or fleet data and document deviations and recommendations.
• Model safety-critical scenarios aligned with functional-safety requirements, including ASIL-D expectations where applicable.
• Integrate containerised tools, plant/controller models and virtual test environments into a scalable simulation architecture.
• Support simulation-driven digital-twin and pre-validation activities for manufacturing deployments.
• Participate in Agile ceremonies and prepare clear test reports, issue summaries, recommendations and weekly progress updates for cross-functional stakeholders.

Required Technical Skills

• Strong hands-on experience in MATLAB, Simulink and Python.
• Experience developing simulation models for vehicle motion, trajectory tracking or path-following validation.
• Working knowledge of Software-in-the-Loop (SIL) testing and model-based development workflows.
• Experience with scenario creation, validation, automated testing and metric extraction.
• Exposure to simulation and visualisation platforms such as CARLA, RoadRunner and Foxglove.
• Working knowledge of Git/GitHub, Docker and Ubuntu/Linux environments.
• Basic understanding of automotive electrical/electronic architectures and vehicle-level software integration.
• Working knowledge of ISO 26262 and ASIL concepts for safety-critical test coverage.
• Understanding of wireless and network technologies such as 5G, V2X/C-V2X and TCP/IP.

Preferred Experience

• Simulation or validation of autonomous or semi-autonomous vehicle functions.
• Manufacturing automation, factory logistics or autonomous vehicle movement within plant environments.
• Digital-twin modelling and comparison of virtual results with physical-vehicle data.
• Bi-weekly or similarly frequent software-release validation cycles.
• Automated reporting, issue tracking and test integration with tools such as Jira.

Behavioural Competencies

• Data-driven judgement: Able to recommend a no-go decision based on objective validation evidence while maintaining constructive stakeholder relationships.
• Systems thinking: Able to connect simulation models, containerised applications, communication interfaces and virtual test environments.
• Agile resilience: Calm, structured and methodical when working within frequent release cycles and changing priorities.
• Communication: Able to explain technical findings clearly to software, safety, infrastructure and manufacturing stakeholders.
• Ownership: Proactive in investigating issues, proposing corrective actions and driving tasks through closure.

Key Deliverables

• Validated SIL simulation models and representative virtual plant scenarios.
• Automated simulation scripts, performance metrics and repeatable test workflows.
• Release-validation reports with traceable results, issues and recommendations.
• Comparison of simulation outcomes with available physical test or fleet data.
• Technical documentation covering assumptions, interfaces, limitations and validation evidence.
• Timely weekly and milestone-based status reporting.

Additional Expectations

• The role is primarily an individual-contributor position within a cross-functional engineering team.
• Candidates should be comfortable working onsite and supporting shift-based infrastructure utilisation when required.
• The engagement covers software engineering, simulation and validation; delivery of physical hardware is outside the role scope.

Golang | Google Cloud Platform | PostgreSQL | CI/CD

Role Summary

We are seeking a Backend & DevOps Engineer to design, develop, deploy and maintain production-ready REST API services in Go and the associated Google Cloud Platform infrastructure. The role combines hands-on backend engineering with CI/CD automation, containerisation, security integration and cloud service operations. The engineer will work within defined architectural standards and will own both application code and infrastructure automation.

Key Responsibilities

• Design and develop production-grade REST APIs in Go using gorilla/mux.
• Implement and maintain a three-layer application architecture: Handler to Service to Repository.
• Write, review and optimise raw parameterised SQL for PostgreSQL using database/sql, without ORM dependencies.
• Create and maintain database migrations and version history using Flyway.
• Develop and optimise GCP Cloud Build pipelines for continuous integration and environment deployments.
• Package applications using multi-stage Docker builds with distroless, non-root runtime images.
• Deploy and operate containerised services on GCP Cloud Run and integrate with Cloud SQL.
• Implement inbound Azure AD JWT/JWKS validation and outbound OAuth2 client-credentials flows.
• Manage application secrets and configuration securely through GCP Secret Manager.
• Integrate SonarQube code-quality gates and FOSSA open-source licence compliance checks into CI/CD.
• Develop comprehensive table-driven unit tests using httptest, mockery and go-sqlmock.
• Participate in code reviews, troubleshoot production and pipeline issues, and drive corrective actions through closure.
• Prepare weekly technical status updates covering API delivery, migrations, pipeline health, test coverage, risks and blockers.

Required Technical Skills

• Strong professional experience in Go/Golang backend development; Go 1.25 or later is preferred.
• Hands-on REST API development using gorilla/mux or a comparable Go routing framework.
• Sound understanding of layered architecture and manual dependency injection without DI frameworks.
• Strong PostgreSQL and database/sql experience, including secure parameterised queries and performance optimisation.
• Experience with Flyway or an equivalent database migration tool.
• Practical experience with GCP Cloud Run, Cloud SQL, Cloud Build and Secret Manager.
• Strong Docker knowledge, including multi-stage builds, distroless images and non-root execution.
• Experience with Azure AD authentication, JWT/JWKS validation and OAuth2 client credentials.
• Experience integrating automated code-quality, security or licence-compliance gates into delivery pipelines.
• Strong unit-testing skills using Go testing patterns and mocking/database test utilities.
• Working knowledge of Git/GitHub and version-controlled development workflows.

Tool and Technology Stack

• Languages and frameworks: Go 1.25+, gorilla/mux.
• Database: PostgreSQL 17, database/sql and Flyway.
• Cloud: GCP Cloud Run, Cloud SQL, Cloud Build and Secret Manager.
• Containers: Docker multi-stage builds and distroless runtime images.
• Identity and security: Azure AD, JWT/JWKS and OAuth2.
• Quality and compliance: SonarQube and FOSSA.
• Testing: Go test, httptest, mockery and go-sqlmock.
• Source control: Git and GitHub.

Behavioural Competencies

• Analytical problem solving: Investigates issues systematically and applies rigorous, evidence-based solutions.
• Architectural discipline and detail: Works within prescribed coding, security and design standards while maintaining reliability, testability and operational readiness.
• Ownership: Takes responsibility for application delivery as well as infrastructure and pipeline automation.
• Communication and collaboration: Provides concise technical updates, escalates blockers early and contributes constructively to reviews and quality gates.

Key Deliverables

• Production-ready Go REST APIs aligned with the prescribed layered architecture.
• Optimised SQL queries and controlled, traceable database migrations.
• Reliable CI/CD pipelines with automated quality and licence-compliance checks.
• Secure, minimal and non-root container images deployed to Cloud Run.
• Authentication, authorisation and secrets-management integrations.
• Automated unit tests and measurable test coverage.
• Technical documentation and timely status reporting.

Additional Expectations

• The position requires ownership across backend development and DevOps automation.
• One engineering workstation and the necessary approved software licences will be required per resource.
• Provisioning or management of compute infrastructure outside GCP is outside the primary role scope.

Role Summary

Lead reliability engineering for business-critical manufacturing platforms, owning SLOs, observability, CI/CD, infrastructure automation, incident management and production readiness. Lead AI/Agentic-AI reliability covering model/agent observability, AIOps, drift monitoring, workflow guardrails and GenAI-assisted incident response.

Key Responsibilities

• Define SLI/SLO/SLA and error budgets; align release velocity with reliability targets.
• Build observability across metrics, logs and traces using Splunk, Datadog, Prometheus and Grafana.
• Create actionable alerts and dashboards that reduce alert fatigue.
• Develop Jenkins CI/CD pipelines and evaluate GitOps/Argo CD.
• Manage GCP infrastructure with Terraform; operate Docker/Kubernetes workloads.
• Conduct load/stress testing and production-readiness reviews.
• Own incident response, on-call, MTTA/MTTR, postmortems, runbooks and improvement.
• Monitor model-serving, agent orchestration and RAG systems for availability, latency, task success and drift.
• Define AI SLOs and safeguards including auditing, human-in-the-loop escalation and runaway-agent circuit breakers.
• Implement AIOps for anomaly detection, predictive alerts, automated triage and GenAI-assisted RCA/runbooks.
• Reduce operational toil through automation; collaborate across platform, manufacturing, data/AI and IT teams; mentor engineers.
• Provide weekly reliability, incident and KPI reporting.

Required Qualifications

• 5–8+ years in SRE, DevOps or platform engineering.
• Strong SLI/SLO, error-budget, observability and incident-management expertise.
• Strong GCP experience including networking, compute, managed services and access.
• Production experience with Kubernetes, Docker and Terraform.
• Jenkins CI/CD experience; GitOps/Argo CD exposure desirable.
• Splunk plus Datadog, Prometheus or Grafana experience.
• Python and/or Java scripting capability.
• Load/stress testing, capacity analysis and production-readiness experience.
• PagerDuty, Opsgenie or equivalent on-call tooling knowledge.
• Exposure to AI/ML reliability, MLOps, AIOps or Agentic-AI operations.

AI & Agentic-AI Reliability Experience

• Vertex AI: model monitoring, pipelines and agent-building services.
• LangChain, LangGraph or comparable agent orchestration frameworks.
• RAG, vector search and retrieval-system observability.
• Model performance and data-drift monitoring.
• Inference latency, model availability and agent task-completion observability.
• GenAI-assisted incident response, runbook retrieval, incident copilots and RCA summarisation.

Behavioural & Leadership Competencies

• Technical leadership and architectural decision-making.
• Analytical troubleshooting of distributed and AI-system failures.
• Clear communication of reliability, risks and progress to technical/executive audiences.
• Cross-functional collaboration and SRE mentoring.
• Operational ownership through incident closure, corrective actions and documentation.

Key Deliverables

• SLO/error-budget framework and integrated observability dashboards.
• Controlled CI/CD and Terraform-based infrastructure automation.
• Incident-management process, on-call model, runbooks and postmortems.
• Load/stress testing evidence for production readiness.
• Initial AI/Agentic-AI observability and AIOps/GenAI incident-response proof of concept.
• Modular onboarding architecture and regular reliability/KPI reporting.

Initial Success Measures

• SLOs operational for at least three critical platforms within three months.
• Initial model-monitoring or AIOps capability operational within three months.
• Critical-incident MTTA below 15 minutes with continuous MTTR improvement.
• Operational toil at or below 50% per sprint, with remaining capacity for automation.

Additional Expectations

• Flexibility for onsite collaboration, milestones and on-call participation.
• Approved engineering workstation with GCP and AI/ML tooling access.
• Strong documentation and modular architecture to support handover and scale-up.

Role Summary

The Robotics Simulation Engineer will design, develop, test, and virtually validate high-fidelity robotic simulation pipelines within the NVIDIA Isaac ecosystem. The role combines physics-based simulation, reinforcement learning, foundation-model integration, ROS 2 middleware, GPU containerization, and sim-to-real engineering to support reliable deployment of robotic applications in an advanced manufacturing environment.

Key Responsibilities

• Architect high-fidelity, physics-based simulation environments using NVIDIA Isaac Sim, Isaac Labs, and Omniverse.
• Create and maintain accurate USD-based robot, sensor, workstation, and factory-scene assets, including RGB-D, LiDAR, IMU, contact, and force-torque sensor models.
• Develop scalable reinforcement-learning pipelines in Isaac Gym or Isaac Labs using PyTorch, including reward design, policy architecture, parallel training, and performance optimization.
• Integrate and fine-tune embodied-AI or foundation models such as NVIDIA GR00T for manipulation, locomotion, and related robotics use cases.
• Design ROS 2 packages, nodes, lifecycle components, custom messages, action servers, and DDS communication interfaces between simulation and robot-control stacks.
• Develop modular Python automation, custom Omniverse/USD extensions, synthetic-data generation workflows, and reusable engineering tools.
• Build production-grade Docker images using CUDA, NVIDIA Container Toolkit, and compatible Omniverse runtimes for headless GPU execution.
• Implement domain randomization across visual, dynamic, friction, latency, payload, and sensor-noise parameters to improve model robustness.
• Establish software-in-the-loop and hardware-in-the-loop validation frameworks and perform system identification using real robot telemetry.
• Support deployment across local GPU workstations and approved cloud environments, with automated simulation and regression testing in CI/CD pipelines.

Required Technical Skills

• Strong hands-on experience with NVIDIA Isaac Sim and Isaac Labs; working knowledge of Isaac Gym and NVIDIA Omniverse.
• Advanced Python development skills and practical C++ experience (C++17 or later) for robotics and performance-critical components.
• Solid understanding of reinforcement learning, PyTorch, reward engineering, policy training, inference optimization, and experiment evaluation.
• Proficiency in ROS 2, DDS, URDF, robot kinematics and dynamics, motion/control interfaces, and distributed robotics software design.
• Hands-on experience with Universal Scene Description (USD), OpenUSD APIs, URDF and/or MJCF asset workflows.
• Experience with Docker, NVIDIA Container Toolkit, CUDA-enabled workloads, Linux, Git, and CI/CD automation.
• Knowledge of sim-to-real methods, domain randomization, sensor modeling, system identification, and validation methodology.

Preferred Experience

• Experience with NVIDIA GR00T or other vision-language-action / embodied-AI foundation models.
• Exposure to TensorRT, Warp, PhysX, synthetic-data generation, and performance profiling of GPU-accelerated simulations.
• Experience deploying simulation workloads on multi-GPU workstations or cloud platforms such as AWS, Azure, or Google Cloud.
• Background in industrial robotics, autonomous systems, digital manufacturing, or virtual commissioning.

Education and Experience

• Bachelor's or Master's degree in Robotics, Computer Science, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline.
• Typically 6-8 years of relevant engineering experience, including demonstrable ownership of complex robotics simulation or autonomy projects.
• A portfolio, code samples, technical publications, or documented project outcomes demonstrating simulation and robot-learning expertise is desirable.

Key Deliverables

• Validated Isaac Sim/Omniverse environments and reusable USD scene graphs.
• Reproducible RL training pipelines, trained-policy checkpoints, evaluation results, and model configuration assets.
• Tested ROS 2 packages, launch files, middleware interfaces, and controller-integration components.
• Portable GPU-enabled container images and automated build, simulation, and regression-test workflows.
• Sim-to-real verification evidence, benchmarking results, system-identification outputs, and deployment-readiness recommendations.
• Complete technical documentation, setup guides, architecture notes, SOPs, and structured handover materials.

Behavioral Competencies

• Strong analytical problem-solving and systematic debugging skills.
• Ability to translate engineering objectives into maintainable simulation and software architectures.
• Clear written and verbal communication with cross-functional engineering stakeholders.
• Ownership mindset, attention to quality, and discipline in configuration management and documentation.
• Ability to work independently while collaborating effectively in an agile, milestone-driven environment.

Success Measures

• Simulation fidelity, stability, reproducibility, and performance meet agreed acceptance criteria.
• Robot-learning and foundation-model workflows execute reliably and demonstrate measurable task performance.
• ROS 2 middleware and controls interfaces pass functional and integration validation.
• Containerized environments are portable, documented, and suitable for repeatable local or cloud execution.
• Sim-to-real risk is reduced through documented evidence, controlled testing, and actionable engineering recommendations.

Role Summary

The Process Simulate Automation Engineer will design and enhance intelligent automation products within Siemens Tecnomatix Process Simulate. The role focuses on robotic manufacturing simulation, automated path planning, welding-operation optimization, equipment and object-flow automation, offline programming, ergonomic positioning, and collision-free multi-robot coordination. The engineer will combine strong C#/.NET development with mathematics, geometric computation, robotics, and optimization algorithms to deliver reliable production-ready solutions.

Key Responsibilities

• Develop and enhance automation applications, APIs, scripts, plug-ins, and DLL integrations for Siemens Tecnomatix Process Simulate.
• Design algorithms that minimize robot via points while preserving path accuracy, process safety, reachability, and collision clearance.
• Automate the resequencing of welding spots to optimize robot path length, cycle time, accessibility, and process constraints.
• Determine optimal welding-gun orientation for each spot and improve gun open/close parameters for speed, reliability, and weld quality.
• Create automatic operation-sequencing logic that can adapt to cycle-time and station-level constraints.
• Develop resequencing capabilities across stations to improve overall process flow and production-cycle performance.
• Implement robot zoning, interference management, collision detection, and collision-free path generation for shared workspaces.
• Generate accurate robot Offline Programming (OLP) outputs suitable for downstream validation and execution with minimal manual intervention.
• Integrate new automation modules with existing applications while maintaining compatibility, performance, and workflow consistency.
• Conduct functional, accuracy, robustness, and performance testing; validate simulation results against available real-world data.
• Prepare source-code documentation, user guides, technical methods, training materials, and structured handover packages.

Required Technical Skills

• Hands-on expertise with Siemens Tecnomatix Process Simulate, including robotic simulation, robotic operations, process planning, equipment placement, and manufacturing-cell validation.
• Experience with Process Simulate automation APIs, scripting, customization, plug-in development, or DLL integration.
• Strong C# and .NET programming skills, with sound object-oriented design, API integration, debugging, exception handling, and maintainable coding practices.
• Strong foundation in linear algebra, vector mathematics, coordinate systems, transformation matrices, trigonometry, 3D geometry, and computational geometry.
• Good understanding of robot kinematics and inverse kinematics, reachability, joint configurations, singularities, and motion constraints.
• Experience developing or applying path-planning and optimization algorithms such as A*, Dijkstra, RRT, heuristic search, constraint-based optimization, and collision-avoidance methods.
• Working knowledge of Git or an equivalent version-control system and disciplined software configuration management.

Optimization and Algorithm Experience

• Graph theory, shortest-path search, sampling-based motion planning, and search-space reduction.
• Collision detection, clearance evaluation, robot-workspace zoning, and multi-robot interference management.
• Genetic algorithms, metaheuristic methods, constraint solving, or multi-objective optimization for cycle time, path length, quality, and safety.
• Geometric reasoning for gun orientation, tool-center-point motion, equipment movement, object flow, and manikin or ergonomic positioning.

Education and Experience

• Bachelor's or Master's degree in Robotics, Computer Science, Mechanical Engineering, Mechatronics, Manufacturing Engineering, Automation, or a related discipline.
• Demonstrable hands-on experience delivering Process Simulate customization, robotic path-planning, OLP, or manufacturing-simulation automation solutions.
• Experience in automotive body-in-white, robotic welding, assembly-line simulation, virtual commissioning, or similar manufacturing environments is preferred.

Key Deliverables

• Enhanced automatic path planner with reduced via points and validated path quality.
• User-controlled robot configuration settings and automated configuration support where required.
• Automatic welding-spot resequencing and optimal gun-orientation functionality.
• Optimized operation sequencing, gun open/close behavior, and cross-station resequencing.
• Integrated application modules compatible with the existing software environment.
• Robot OLP generation and collision-free zoning validated through simulation and testing.
• Test reports, source code, technical documentation, user manuals, and training materials.

Behavioral Competencies

• Strong analytical thinking and the ability to translate manufacturing problems into practical algorithms.
• Structured debugging, root-cause analysis, and attention to simulation accuracy and software quality.
• Clear communication with manufacturing, robotics, process-planning, and software stakeholders.
• Ownership of deliverables, estimates, documentation, and timely technical escalation.
• Ability to collaborate in a milestone-driven, cross-functional engineering environment.

Success Measures

• Reduced robot path complexity and cycle time without compromising safety or process accuracy.
• Reliable automated spot sequencing, gun orientation, OLP generation, and collision avoidance.
• Seamless integration with existing applications and stable execution within Process Simulate.
• Simulation results are repeatable, validated, documented, and suitable for engineering adoption.

Role Overview

The engineer will develop and deliver optimized machining process plans and CNC programs for prismatic and powertrain components. The role requires hands-on experience in machining methods, NX CAM programming, tooling validation, manufacturing documentation, and independent coordination with program and manufacturing engineering teams.

Key Responsibilities

• Review component, tooling, fixture, machine and manufacturing inputs with relevant engineering stakeholders.
• Develop high-level machining process plans and detailed operation sequences.
• Create machining process plans and generate CNC programs using NX CAM / NX Manufacturing.
• Prepare cycle-time charts and support estimation of the optimized number of machines for the required production volume.
• Develop and optimize CNC programs for milling, drilling, tapping and related machining operations.
• Review 2D drawings and 3D models of parts, fixtures, adapter plates, tools and machine assemblies.
• Validate cutting-tool drawings and provide technically sound feedback.
• Create required sections and manufacturing views and support GD&T detailing in drawings.
• Maintain engineering data and applicable documentation in Teamcenter or an equivalent PLM environment.
• Review outputs with manufacturing and program engineers, incorporate feedback and support final release.
• Prepare weekly progress summaries, issue reports, recommendations and supporting engineering documentation.
• Update applicable work instructions, procedures and checklists based on approved changes and lessons learned.

Required Technical Skills

• Strong understanding of machining processes, including milling, drilling, tapping and related operations.
• Practical knowledge of machining parameters, feeds, speeds, tolerances and cycle-time optimization.
• Sound knowledge of machine tools, cutting tools, fixtures and manufacturing fundamentals.
• Hands-on experience with NX CAM and NX CAD; exposure to Teamcenter and AutoCAD is preferred.
• Good understanding of engineering drawings, GD&T and their application in manufacturing.
• Ability to interpret 2D drawings, 3D CAD models and supplier-provided STEP/STP data.
• Ability to develop, validate and deliver CNC programs independently.
• Working knowledge of manufacturing quality checks, configuration control and document release processes.

Experience and Qualification

• 4–6 years of relevant experience in machining process planning, CNC programming or manufacturing engineering.
• Bachelor’s degree or diploma in Mechanical, Manufacturing, Production, Automobile Engineering or a related discipline.
• Experience supporting automotive, powertrain, industrial machinery or comparable precision-manufacturing programs is preferred.

Soft Skills

• Clear written and verbal communication.
• Good presentation and stakeholder-coordination skills.
• Analytical approach to issue investigation and problem solving.
• Ability to work independently while collaborating with cross-functional teams.
• Strong ownership of quality, schedule and deliverables.

Performance Expectations

• On-time delivery of machining plans, CNC programs, reports and supporting documentation.
• High first-time-right quality and adherence to agreed engineering checklists.
• Prompt identification, communication and closure of input, tool, system and delivery risks.
• Participation in technical reviews and periodic project-governance meetings.
• Corrective-action support for quality or delivery deviations, when required.

Role Overview

The engineer will create and deliver station-wise machining process sheets, cutting-tool illustrations, and manufacturing engineering drawings for precision-machined components. The role requires strong understanding of machining processes, cutting tools, GD&T, engineering drawings, and controlled release of technical documentation using NX CAD and Teamcenter.

Key Responsibilities

• Collect and review inputs from program, manufacturing, process and tooling stakeholders.
• Interpret component drawings, manufacturing requirements, tooling data, fixture models and machine information.
• Develop station-wise machining process sheets and detailed manufacturing documentation.
• Create cutting-tool designs and illustrations with all necessary manufacturing details.
• Prepare and update engineering drawings using NX CAD and AutoCAD, as applicable.
• Create assembly, part, fixture and tooling views, including required cut sections and designed views.
• Apply manufacturing GD&T and dimensional detailing in accordance with applicable standards.
• Classify, maintain and release 2D and 3D engineering data in Teamcenter or an equivalent PLM system.
• Upload approved process sheets and deliverables to designated project repositories.
• Review deliverables with manufacturing and program engineers, incorporate feedback and support final release.
• Maintain reconciliation matrices, work instructions, procedures, checklists and revision records.
• Prepare periodic status reports, issue summaries and technical recommendations.

Required Technical Skills

• Strong knowledge of machining processes used for precision and powertrain components.
• Practical understanding of cutting tools, tool assemblies, fixtures, adapter plates and machine-tool fundamentals.
• Hands-on experience in NX CAD for creating and detailing manufacturing drawings.
• Working knowledge of Teamcenter for engineering-data classification, revision control and document release.
• Exposure to AutoCAD for reviewing or updating 2D technical drawings.
• Sound understanding of engineering drawings, tolerances and GD&T application in manufacturing.
• Ability to interpret supplier and engineering inputs in 2D, 3D, STEP and STP formats.
• Ability to independently develop accurate process sheets and tool-illustration deliverables.
• Knowledge of manufacturing quality checks and first-time-right documentation practices.

Experience and Qualification

• 4-6 years of relevant experience in manufacturing process documentation, tool design/illustration, production engineering or machining engineering.
• Bachelor's degree or diploma in Mechanical, Manufacturing, Production, Automobile Engineering or a related discipline.
• Experience supporting automotive, powertrain, industrial machinery or similar precision-manufacturing programs is preferred.

Soft Skills

• Clear written and verbal communication.
• Good presentation and stakeholder-coordination skills.
• Strong attention to detail and document accuracy.
• Analytical approach to issue investigation and problem solving.
• Ability to work independently while collaborating with cross-functional teams.
• Strong ownership of quality, schedule and deliverables.

Performance Expectations

• On-time delivery of process sheets, tool illustrations, drawings, reports and supporting documentation.
• High first-time-right quality and adherence to agreed engineering checklists.
• Timely identification and communication of missing inputs, access constraints and delivery risks.
• Effective participation in technical reviews and periodic project-status meetings.
• Corrective-action support for quality or delivery deviations, when required.

Role Overview

The engineer will develop, deploy and maintain production-ready backend APIs and geospatial data services using C#, PostgreSQL/PostGIS and Google Cloud Platform. The role combines backend application development, database optimization, cloud infrastructure management, security integration and CI/CD automation for a map-data platform.

Key Responsibilities

• Design, develop, test and maintain scalable backend APIs and services in C#.
• Develop and optimize secure, parameterized SQL queries for PostgreSQL and PostGIS.
• Design database structures, migrations and spatial queries supporting GIS and map-data services.
• Build and maintain CI/CD pipelines using GCP Cloud Build and pipeline technologies such as Tekton.
• Provision, configure and manage GCP services including Cloud Run, Cloud SQL, Secret Manager, Cloud Functions, Pub/Sub, Cloud Storage and VPC networking.
• Create secure and efficient Docker images using multi-stage and distroless build practices.
• Implement inbound authentication using Azure AD JWT/JWKS and outbound OAuth 2.0 client-credentials flows.
• Manage application secrets and environment configuration through a cloud secret-management service.
• Integrate code-quality, security and licence-compliance gates using SonarQube and FOSSA.
• Support deployment monitoring, pipeline health, incident investigation and remediation of technical risks.
• Collaborate through GitHub-based workflows, pull requests, code reviews and controlled release processes.
• Prepare technical documentation and periodic status reports covering development, migrations, testing, pipeline health and blockers.

Required Technical Skills

• Expert proficiency in C# and strong experience building production backend APIs.
• Advanced knowledge of PostgreSQL, including query optimization, transactions and database design.
• Hands-on experience with PostGIS, spatial data and geospatial queries.
• Practical experience with GCP services, particularly Cloud Run, Cloud SQL, Cloud Build and Secret Manager.
• Strong understanding of Docker containerization and secure image-build practices.
• Experience implementing REST APIs, JWT authentication, JWKS validation and OAuth 2.0.
• Hands-on experience with GitHub, CI/CD automation and DevOps workflows.
• Knowledge of SonarQube, FOSSA or equivalent quality and compliance tools.
• Strong mathematical understanding and ability to work with CAD and GIS coordinate systems.

Preferred Skills

• Experience with Node.js for backend or supporting services.
• Familiarity with ReactJS for supporting web-based map or data-management viewers.
• Experience with AutoCAD and C#-based CAD automation.
• Exposure to Tekton or comparable deployment-pipeline tools.
• Familiarity with manufacturing process authoring, facility-layout planning or industrial GIS applications.

Experience and Qualification

• Minimum 3 years of professional experience in backend development and cloud infrastructure engineering.
• Bachelor's degree in Computer Science, Information Technology, Software Engineering or a comparable technical discipline.
• Demonstrated experience owning both application code and infrastructure automation in a production environment.

Soft Skills

• Strong analytical and problem-solving mindset with attention to detail.
• Ability to work within defined architectural guidelines and coding standards.
• Clear technical communication for reviews, governance and status reporting.
• Collaborative approach to code reviews, quality gates and cross-functional delivery.
• Ownership mindset for application reliability, cloud infrastructure and delivery commitments.

Performance Expectations

• Reliable delivery of secure, maintainable and production-ready APIs and cloud components.
• Efficient database queries and controlled schema-migration practices.
• Stable CI/CD pipelines with appropriate code-quality and compliance checks.
• Proactive identification and remediation of security, reliability and delivery risks.
• Accurate technical documentation, test evidence and timely status reporting.

Role Overview

The engineer will support powertrain manufacturing programs through virtual assembly reviews, manufacturing-feasibility analysis and fastening audits. The role involves evaluating product and process data, identifying assembly and torque-related discrepancies, documenting technical findings, and coordinating corrective-action closure with cross-functional engineering teams.

Key Responsibilities

• Collect and validate product CAD, part drawings, product structures, process flows, process sheets, assembly sequences, station data, engineering standards and torque specifications.
• Perform virtual assembly and digital manufacturing reviews using approved engineering tools.
• Evaluate assembly sequence, access, clearance, orientation, tool approach, serviceability, ergonomics and manufacturing feasibility at assigned stations.
• Review manufacturing process sheets and identify fastening operations by station, operation and part number.
• Extract applicable torque requirements and allowable limits from controlled engineering specifications, standards and part drawings.
• Retrieve available fastening-operation and production-line data from approved systems.
• Review tightening parameters including mean values, lower and upper specification limits and tightening-point quantities.
• Compare production-system fastening parameters with engineering requirements and identify mismatches, missing limits or incomplete information.
• Analyse torque traces and prepare or update torque-summary sheets and audit trackers.
• Raise, track and document assembly-feasibility and fastening issues in designated project repositories.
• Prepare clear technical findings, discrepancy reports, presentations and periodic status updates.
• Collaborate with product, manufacturing, quality, process, digital assembly and fastening-engineering teams to support corrective actions and closure.

Required Technical Skills

• Automotive manufacturing-process knowledge with exposure to engine, transmission, axle or comparable powertrain assembly operations.
• Ability to interpret manufacturing process sheets, assembly sequences, station information, part drawings, product structures and controlled engineering documents.
• Understanding of virtual assembly, digital manufacturing and manufacturing-feasibility assessment.
• Knowledge of assembly sequence, access, clearance, orientation, serviceability, ergonomics and tool-approach evaluation.
• Knowledge of fastening operations, torque specifications, tightening parameters and production-system data comparison.
• Working knowledge of Teamcenter/AWC and virtual review tools such as VisMockUp or Process Simulate.
• Proficiency in Microsoft Excel and standard office/productivity applications.
• Ability to maintain traceable torque summaries, issue trackers and technical reports.

Preferred Skills

• Exposure to fastening systems, tightening controllers and production fastening databases.
• Experience with torque-trace analysis and manufacturing data analytics.
• Familiarity with virtual manufacturing, digital assembly or digital validation workflows.

Experience and Qualification

• 2-3 years of relevant experience in automotive powertrain assembly, virtual assembly, virtual manufacturing engineering or fastening systems.
• Bachelor's degree in Mechanical, Automobile, Production or Manufacturing Engineering.
• Experience supporting cross-functional automotive manufacturing programs is preferred.

Soft Skills

• Strong collaboration with product development, manufacturing engineering, quality, process engineering and plant operations.
• Proactive problem-solving attitude with attention to detail and a strong quality mindset.
• Clear technical writing for traceable findings, audit observations, discrepancy reports and status updates.
• Strong planning, presentation, follow-up and remote-coordination capability.
• Ability to communicate effectively with global engineering stakeholders.

Performance Expectations

• Accurate and error-free virtual assembly and fastening-audit reports.
• On-time delivery in accordance with the agreed reporting cadence and program milestones.
• Early identification and communication of feasibility concerns, torque mismatches and incomplete inputs.
• Clean, traceable and auditable records of input revisions, findings, issue logs and action status.
• Active participation in technical reviews and timely support for corrective-action closure.

Role Overview

The Talent Acquisition Specialist will be responsible for end-to-end recruitment across consultancy and engineering functions. This includes sourcing, evaluating, and onboarding candidates for technical and professional roles, while ensuring alignment with organizational goals, project timelines, and compliance standards.

Key Responsibilities

• Full-cycle recruitment: Manage sourcing, screening, interviewing, and offer negotiation for engineering and consultancy roles.
• Technical role definition: Collaborate with engineering managers to draft accurate job descriptions for niche roles (e.g., civil, mechanical, electrical, software, GIS engineers).
• Sourcing strategy: Use LinkedIn, job boards, Boolean search, and talent mapping to build pipelines for hard-to-fill positions.
• Candidate evaluation: Coordinate technical tests, structured interviews, and competency-based assessments.
• Employer branding: Promote the company’s consultancy expertise and engineering achievements to attract top talent.
• Campus hiring: Lead graduate recruitment programs, internships, and early-career initiatives.
• Data-driven recruitment: Track KPIs such as time-to-fill, source-of-hire, and quality-of-hire to optimize processes.
• Workforce planning: Partner with project managers and HR to forecast hiring needs based on consultancy projects and engineering deliverables.
• Global & niche talent: Source specialized talent across regions, ensuring compliance with relocation and labor laws.

Required Skills

• Strong knowledge of engineering roles and consultancy project structures.
• Expertise in ATS systems (Workday, Greenhouse, Lever).
• Proficiency in technical sourcing methods (Boolean search, GitHub, engineering forums).
• Excellent stakeholder management and advisory skills.
• Familiarity with labor laws and compliance in India and international markets.
• Strong communication and negotiation skills.

Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or Engineering.
• 3–6 years of experience in talent acquisition, preferably in consultancy or engineering industries.

Requirements

• Experience in Automotive Software Testing.
• Hands-on experience with Android Platform Level Testing and Android Infotainment Systems.
• Strong knowledge of Serial Logs, ADB Logs, CANoe, CANalyzer, GIT, RTC, and ClearCase.
• Experience in writing test plans, defining KPIs, and working in Agile/SCRUM environments.
• Good understanding of CAN Protocol (Diagnostics & LIN protocol knowledge is an added advantage).
• Ability to manage multiple projects and deliver high-quality results within timelines.
• Strong communication, collaboration, and problem-solving skills.
• Experience with Automotive Embedded domain; candidates from KPIT, HCL, Tata Elxsi, or similar organizations will be preferred.

Preferably worked with

• Automotive Embedded
• KPIT / HCL / Tata Elxsi

Skills & Competencies

• Excellent communication, presentation, and negotiation skills.
• Proficient in MS Office, enterprise tools.

Experience

• Minimum 8–10 years of experience in SCADA Automation, Industrial Automation, and Instrumentation systems with a strong focus on Water and Wastewater projects.
• Proven experience in leading and executing SCADA and Instrumentation projects for Water Supply and Wastewater systems across large-scale municipal and infrastructure projects.
• Mandatory experience in execution of at least 2 Water Supply SCADA projects and 2 Wastewater SCADA projects for cities with population exceeding 10 Lakhs.
• Strong expertise in design, development, implementation, and commissioning of SCADA systems, PLCs, RTUs, and automation platforms.
• Hands-on experience in Water Instrumentation systems, control systems, telemetry systems, field instrumentation, and integrated automation solutions.
• Demonstrated experience in managing end-to-end automation lifecycle including engineering, configuration, commissioning, testing, troubleshooting, and optimization activities.
• Strong exposure to communication protocols including Modbus, DNP3, Ethernet/IP, OPC, and industrial networking systems.
• Experience in integration of SCADA systems with Water Treatment Plants, Wastewater Treatment Plants, pumping stations, reservoirs, and distribution networks.
• Proven capability in leading cross-functional engineering teams, vendors, contractors, and site execution activities for automation and instrumentation projects.
• Strong understanding of industry standards, safety regulations, cybersecurity practices, and quality benchmarks related to automation systems.
• Experience in technical documentation, project coordination, stakeholder management, and operational support for large-scale Water Infrastructure projects.

Requirements

• Lead the design, engineering, development, implementation, and commissioning of SCADA systems for Water Supply and Wastewater Instrumentation projects.
• Manage end-to-end automation processes ensuring system reliability, operational efficiency, scalability, and performance optimization.
• Drive successful execution of SCADA and Instrumentation projects across Water Treatment Plants, Wastewater Treatment Plants, pumping stations, and distribution systems.
• Collaborate with engineering, operations, maintenance, and project management teams to ensure seamless integration of automation and instrumentation systems.
• Provide technical leadership and guidance for SCADA hardware, software, PLCs, RTUs, telemetry systems, communication networks, and industrial protocols.
• Develop and review automation architecture, control philosophies, instrumentation layouts, technical specifications, and engineering documentation.
• Manage system configuration, integration, testing, commissioning, troubleshooting, and performance tuning activities for SCADA and control systems.
• Conduct root cause analysis, issue resolution, preventive maintenance planning, and continuous improvement initiatives for automation systems.
• Ensure compliance with industry standards, cybersecurity practices, safety regulations, operational guidelines, and project quality benchmarks.
• Coordinate with OEMs, vendors, consultants, contractors, and field teams for successful implementation and operational support of automation systems.
• Lead and mentor teams of automation engineers, instrumentation engineers, technicians, and site personnel while driving technical excellence and team capability enhancement.
• Monitor project schedules, resource utilization, execution progress, and technical deliverables to ensure timely project completion.
• Support preparation and review of technical reports, engineering documents, SOPs, testing procedures, and operational manuals.
• Drive adoption of emerging technologies and smart automation solutions within Water and Wastewater infrastructure ecosystems.
• Provide technical support during inspections, audits, customer interactions, and project review meetings.
• Ensure smooth handover of completed systems including documentation, training, operational support, and post-commissioning stabilization activities.
• Maintain effective coordination with internal teams, clients, consultants, municipal authorities, and external stakeholders throughout project lifecycle.
• Stay updated with emerging trends, innovations, and advancements in SCADA Automation, Industrial IoT, Smart Water Management, and instrumentation technologies.

Key Performance Indicators

• Successful delivery and commissioning of SCADA and Instrumentation projects within defined timelines, budgets, and quality standards.
• Achievement of operational reliability, automation efficiency, system uptime, and performance benchmarks across Water and Wastewater projects.
• Reduction in system downtime, operational failures, and technical escalations through proactive monitoring and optimization initiatives.
• Successful integration and performance of SCADA systems, PLCs, RTUs, telemetry systems, and industrial communication networks.
• Compliance with project specifications, safety standards, quality benchmarks, and cybersecurity requirements.
• Effectiveness of troubleshooting, root cause analysis, and issue resolution turnaround time for automation systems.
• Improvement in automation workflows, process optimization, and operational efficiency across Water Infrastructure projects.
• Successful coordination and execution of site activities, engineering deliverables, commissioning schedules, and stakeholder expectations.
• Enhancement of team productivity, technical capability development, and knowledge sharing across automation and instrumentation teams.
• Quality and accuracy of technical documentation, engineering standards, reporting, and project governance processes.
• Adoption and implementation of innovative SCADA, Industrial IoT, and Smart Water Management technologies within project ecosystems.
• Continuous improvement in project execution, system optimization, operational support, and customer satisfaction metrics.

Skills & Competencies

• Strong expertise in SCADA Automation, Industrial Automation, Water Instrumentation, and Control Systems.
• Proficiency in SCADA platforms, PLC programming, RTUs, HMI systems, telemetry systems, and industrial automation technologies.
• Strong understanding of communication protocols including Modbus, DNP3, Ethernet/IP, OPC, and industrial networking architectures.
• Hands-on experience in Water Supply, Wastewater, Water Treatment, and Wastewater Treatment automation projects.
• Strong understanding of instrumentation systems including flow meters, pressure transmitters, analyzers, level sensors, actuators, and control valves.
• Ability to design, configure, integrate, commission, troubleshoot, and optimize SCADA and automation systems.
• Strong project management capabilities in handling large-scale automation and instrumentation projects across Water Infrastructure sectors.
• Excellent analytical, troubleshooting, root cause analysis, and problem-solving skills.
• Strong leadership capabilities in managing engineering teams, contractors, vendors, and technical stakeholders.
• Excellent communication, presentation, coordination, and stakeholder management skills.
• Ability to work under pressure, manage multiple priorities, and ensure timely project execution in dynamic environments.
• Strong understanding of safety regulations, cybersecurity practices, quality standards, and operational compliance requirements.
• Proficiency in technical documentation, engineering standards, reporting systems, and enterprise collaboration tools.
• Bachelor’s Degree in Instrumentation, Electronics, Electrical, Mechanical Engineering, or related field. Master’s degree preferred.
• Strong capability to drive continuous improvement, operational excellence, and innovation in SCADA Automation and Smart Water Infrastructure systems.

Experience

• Minimum 10+ years of experience in DPR preparation, project execution, and infrastructure project management within Water Supply and Irrigation sectors.
• Proven experience in preparation and submission of Detailed Project Reports (DPRs) for Irrigation, Water Supply, and Water Resources projects.
• Strong expertise in conducting site surveys, technical assessments, feasibility studies, and project planning activities for Water Infrastructure projects.
• Hands-on experience in project execution support, contractor coordination, technical supervision, and monitoring of Irrigation and Water Supply projects.
• Demonstrated experience in billing verification, financial documentation, invoice processing, and project milestone-based payment management.
• Strong understanding of Government project procedures, regulatory compliance requirements, tender specifications, and infrastructure project standards.
• Experience in coordinating with Government departments, consultants, contractors, suppliers, and technical stakeholders for successful project execution.
• Strong exposure to technical design review, cost estimation, BOQ preparation, implementation planning, and project documentation processes.
• Prior experience in contract management, execution monitoring, reporting, and project coordination activities preferred.
• Ability to independently manage multiple responsibilities, timelines, technical deliverables, and stakeholder coordination activities effectively.

Requirements

• Conduct detailed site surveys, technical assessments, and data collection activities related to Irrigation and Water Supply projects.
• Prepare comprehensive Detailed Project Reports (DPRs) including feasibility analysis, technical design, hydraulic calculations, cost estimates, BOQs, implementation strategies, and execution plans.
• Develop project documentation aligned with Government standards, technical guidelines, policies, and regulatory compliance requirements.
• Coordinate with Government authorities, consultants, contractors, and technical teams to gather project inputs and ensure accurate project planning.
• Support project execution activities by providing technical guidance and ensuring alignment with approved DPRs and project specifications.
• Monitor project progress, implementation quality, technical compliance, and adherence to approved timelines and deliverables.
• Identify technical challenges during project execution and recommend appropriate corrective actions, modifications, and optimization measures.
• Coordinate with contractors, vendors, suppliers, and field execution teams to ensure smooth project implementation and operational efficiency.
• Review and verify project bills, invoices, running account bills, and payment requests in accordance with project milestones and contractual terms.
• Ensure billing processes are accurate, timely, and aligned with approved quantities, work completion status, and project deliverables.
• Collaborate with finance, accounts, and project management teams for timely processing of contractor payments and financial documentation.
• Maintain accurate records of project billing, financial transactions, execution status, technical approvals, and project correspondence.
• Prepare technical reports, project status updates, billing summaries, progress reports, and management documentation for stakeholder review.
• Ensure compliance with project quality standards, safety guidelines, contract conditions, and Government regulatory requirements throughout project lifecycle.
• Support timely submission of project deliverables, DPR documentation, execution milestones, and technical approvals.
• Maintain effective communication and coordination with internal teams, Government agencies, consultants, contractors, and external stakeholders.
• Provide technical inputs and recommendations for project improvements, execution efficiency, and operational optimization initiatives.
• Ensure successful delivery of Irrigation and Water Supply projects within defined timelines, quality standards, and budgetary frameworks.

Key Performance Indicators

• Timely preparation and submission of comprehensive DPRs in accordance with project schedules and Government standards.
• Accuracy and quality of technical designs, feasibility studies, cost estimates, BOQs, and implementation plans within DPR documentation.
• Successful support and coordination of project execution activities across Irrigation and Water Supply projects.
• Improvement in project implementation efficiency, execution quality, and adherence to approved DPR specifications.
• Timely verification and processing of project bills, invoices, payment requests, and financial documentation.
• Compliance with project milestones, billing schedules, contractual terms, and financial governance processes.
• Reduction in project execution delays, technical escalations, billing discrepancies, and operational bottlenecks.
• Effectiveness of stakeholder coordination, contractor management, and communication with Government authorities and consultants.
• Accuracy and completeness of project documentation, technical reports, billing records, and execution status updates.
• Successful management of multiple project responsibilities, timelines, and technical deliverables simultaneously.
• Adherence to quality standards, regulatory guidelines, and Government compliance requirements across project lifecycle.
• Continuous improvement in project planning, reporting mechanisms, execution monitoring, and operational coordination processes.

Skills & Competencies

• Strong expertise in DPR preparation, Irrigation Engineering, Water Supply systems, and Water Infrastructure project management.
• Proficiency in technical feasibility studies, hydraulic analysis, cost estimation, BOQ preparation, and implementation planning activities.
• Strong understanding of Irrigation projects, Water Supply infrastructure, execution methodologies, and Government project ecosystems.
• Hands-on experience in project execution support, contractor coordination, technical supervision, and infrastructure project monitoring.
• Knowledge of billing processes, financial documentation, invoice verification, payment processing, and contract compliance management.
• Strong understanding of Government regulations, tender procedures, project approvals, and infrastructure compliance standards.
• Excellent communication, coordination, stakeholder engagement, and reporting capabilities.
• Strong analytical, technical problem-solving, planning, and decision-making skills.
• Ability to manage multiple responsibilities, project timelines, technical deliverables, and stakeholder interactions effectively.
• Proficiency in project management tools, MS Office Suite, reporting systems, and technical documentation platforms.
• Strong organizational skills with attention to detail, accuracy, and project documentation quality.
• Ability to work independently while ensuring effective collaboration with project teams, consultants, contractors, and Government stakeholders.
• Bachelor’s or Master’s Degree in Civil Engineering, Irrigation Engineering, Water Resources Engineering, or related field.
• Strong capability to support timely project delivery, operational efficiency, and execution excellence across Irrigation and Water Supply projects.

Experience

• Minimum 10–15 years of experience in business development across Water, Wastewater, and Water Resources sectors.
• Proven experience in driving business growth, client acquisition, and strategic business expansion within Government, Consultant, and Corporate ecosystems.
• Strong expertise in managing business development activities, proposals, contract negotiations, and stakeholder engagement for Water and Wastewater projects.
• Demonstrated experience in handling Government sector engagements independently, including coordination with municipal bodies, water authorities, and public sector organizations.
• Hands-on experience in business development for Consultancy, Engineering, Water Infrastructure, Smart Water Management, and Water Resource Management projects.
• Strong exposure to Planning, Designing, and execution ecosystems across Water Supply, Wastewater, Sewerage, Irrigation, and Water Resource Management sectors.
• Experience in conducting technical presentations, product demonstrations, solution positioning, and technology trials for Government and enterprise clients.
• Demonstrated expertise in contract lifecycle management including proposal development, techno-commercial discussions, negotiation, execution, and post-contract engagement.
• Strong understanding of Water Industry technologies including IoT, Smart Water Management, NRW Management, Smart Metering, and digital water infrastructure platforms.
• Prior experience in building and maintaining relationships with Government officials, Consultants, EPC contractors, and large corporate stakeholders preferred.
• Ability to independently manage clients, business opportunities, stakeholder coordination, and strategic account development activities.

Requirements

• Drive end-to-end business development initiatives across Water, Wastewater, and Water Resources sectors with a focus on Government organizations, Consultants, and large Corporates.
• Acquire new clients, projects, and strategic business opportunities for the organization while ensuring sustainable and profitable growth.
• Identify market opportunities, monitor industry trends, and maintain active involvement in competition tracking and market analysis activities.
• Develop and maintain strong relationships with Government departments, Water Authorities, Municipal Corporations, Consultants, and enterprise clients.
• Maintain effective stakeholder engagement and establish long-term customer relationships for sustainable business growth and account expansion.
• Visit consultants, end-user customers, Government agencies, and project stakeholders to identify and discuss business opportunities within assigned territories.
• Support proposal preparation, solution positioning, techno-commercial discussions, and bid management activities for Water sector projects.
• Assist commercial and leadership teams in contract negotiations, agreement finalization, and business closure processes.
• Contribute to organizational growth initiatives by supporting innovation, market expansion, and strategic business development programs.
• Engage with Government clients and stakeholders to schedule, coordinate, and conduct product demonstrations, solution presentations, and technology trials.
• Ensure all demonstrations, trials, and technical presentations align with customer expectations, project requirements, industry standards, and regulatory guidelines.
• Gather client feedback, business insights, and operational inputs during demonstrations and trials to support continuous improvement initiatives.
• Manage complete contract lifecycle activities from initiation and negotiation to execution, compliance tracking, and closure management.
• Negotiate contract terms and commercial agreements with Government officials, Consultants, and Corporate clients to secure favorable business outcomes.
• Coordinate with legal, finance, operations, and technical teams to ensure effective contract execution and compliance management.
• Manage post-contract customer relationships to ensure client satisfaction, service continuity, and identification of contract renewal and upselling opportunities.
• Promote adoption of emerging technologies including IoT, Smart Water Management, Smart Metering, NRW Management, and digital water infrastructure solutions.
• Maintain regular coordination with internal business, technical, commercial, and operations teams for successful project and business execution.
• Ensure timely reporting of business development activities, market intelligence, sales pipeline status, and customer engagement progress to management.
• Represent the organization at client meetings, industry forums, technical discussions, and Water sector events to strengthen market presence and industry relationships.

Key Performance Indicators

• Achievement of annual business development targets, revenue objectives, and profitable business growth across Water sector projects.
• Acquisition of new Government, Consultant, and Corporate clients within Water, Wastewater, and Water Resources domains.
• Growth in sales pipeline, business opportunities, and strategic account development across assigned territories.
• Successful closure of proposals, contracts, and strategic Water sector projects with sustainable margin realization.
• Improvement in customer relationship management, stakeholder engagement, and long-term business association effectiveness.
• Effectiveness of demonstrations, technical presentations, and technology trials in converting business opportunities into projects.
• Enhancement of market presence, competitive positioning, and business expansion initiatives within the Water industry.
• Improvement in contract negotiation outcomes, commercial closure efficiency, and contract lifecycle management effectiveness.
• Successful adoption and positioning of Smart Water Management, IoT, NRW, and Smart Metering solutions across clients and projects.
• Strengthening of relationships with Government organizations, Consultants, Water Authorities, and large enterprise stakeholders.
• Continuous improvement in market intelligence, competition tracking, strategic planning, and business growth initiatives.
• Timely coordination, reporting accuracy, and effective collaboration with internal teams for successful business execution.

Skills & Competencies

• Strong expertise in Water, Wastewater, Water Resources, and Water Infrastructure business ecosystems.
• Proficiency in business development, strategic sales, client acquisition, proposal management, and contract negotiation activities.
• Strong understanding of Water Industry planning, designing, consultancy processes, and infrastructure project ecosystems.
• Knowledge of Smart Water technologies including IoT, Smart Water Management, NRW Management, Smart Metering, and digital water infrastructure systems.
• Ability to independently manage Government clients, Consultants, Corporates, and strategic stakeholder relationships.
• Strong understanding of contract lifecycle management, techno-commercial discussions, negotiation processes, and proposal management.
• Excellent communication, presentation, negotiation, stakeholder engagement, and interpersonal skills.
• Strong analytical, strategic thinking, problem-solving, and decision-making capabilities.
• Ability to work under pressure, manage deadlines, and handle dynamic business environments effectively.
• Strong coordination and collaboration skills with cross-functional business, commercial, operations, and technical teams.
• Proficiency in MS Office Suite, reporting tools, presentation platforms, and enterprise collaboration systems.
• Self-driven and result-oriented approach with strong business acumen and customer relationship management capabilities.
• Ability to build and maintain relationships with senior stakeholders, Government officials, Consultants, Water Authorities, and large Corporate clients.
• Detail-oriented and organized approach with the ability to manage multiple business opportunities and ensure high levels of accuracy and execution quality.

Experience

• Minimum 15+ years of experience in hydraulic design, simulation, and modeling of urban Water Distribution and Sewerage Networks.
• Proven experience in hydraulic modeling, network analysis, and optimization of Water Supply and Sewer Infrastructure projects.
• Strong hands-on expertise in WaterGEMS and/or InfoWorks platforms for hydraulic analysis, simulation, and network performance assessment.
• Demonstrated experience in design and evaluation of water distribution systems, pressure zones, pumping systems, and pipeline networks.
• Strong understanding of hydraulic engineering principles including pipeline design, pump sizing, pressure management, flow analysis, and network optimization methodologies.
• Hands-on experience in preparation and review of hydraulic calculations, design reports, technical documentation, feasibility studies, and DPR submissions.
• Experience in interpreting engineering drawings, utility layouts, network maps, GIS datasets, and infrastructure design documentation.
• Strong exposure to urban Water Supply, Sewerage, Smart Water Management, and infrastructure development projects preferred.
• Experience in coordination with multidisciplinary engineering teams, consultants, clients, and project stakeholders for successful project delivery.
• Ability to independently manage modeling assignments, technical analysis, reporting, and project coordination activities effectively.

Requirements

• Conduct hydraulic modeling, simulation, and analysis of Water Distribution and Sewerage Networks for urban infrastructure projects.
• Develop, review, validate, and optimize hydraulic models using WaterGEMS, InfoWorks, or equivalent hydraulic modeling platforms.
• Perform network analysis including flow distribution, pressure analysis, demand assessment, pump sizing, storage evaluation, and operational optimization.
• Analyze existing water and sewer infrastructure systems and recommend design improvements, rehabilitation strategies, and operational enhancements.
• Prepare and review hydraulic calculations, technical reports, simulation outputs, design documentation, and engineering analysis reports.
• Support preparation of feasibility studies, Detailed Project Reports (DPRs), design submissions, and technical presentations for Water Infrastructure projects.
• Interpret engineering drawings, GIS-based utility maps, pipeline layouts, topographical data, and network infrastructure information for hydraulic analysis.
• Coordinate with design engineers, project teams, consultants, clients, and stakeholders to ensure alignment of modeling activities with project objectives and deliverables.
• Ensure accuracy, reliability, and compliance of hydraulic models with project requirements, engineering standards, and regulatory guidelines.
• Evaluate network performance, identify operational inefficiencies, and recommend corrective measures for pressure management, leakage reduction, and system optimization.
• Support planning and design activities for Water Supply, Sewerage, and Smart Water Infrastructure projects across urban and municipal sectors.
• Provide technical guidance and inputs during project reviews, client discussions, design coordination meetings, and engineering evaluations.
• Maintain proper documentation of hydraulic models, assumptions, technical calculations, simulation outputs, and project records.
• Collaborate with GIS, planning, engineering, and project management teams for integration of hydraulic models with infrastructure planning activities.
• Ensure timely completion of modeling assignments, technical deliverables, and project documentation in accordance with defined schedules and quality standards.
• Stay updated with emerging trends, technologies, and best practices in hydraulic modeling, urban water systems, and smart infrastructure planning.

Key Performance Indicators

• Successful completion of hydraulic modeling and simulation activities within defined timelines, quality standards, and project requirements.
• Accuracy and reliability of hydraulic models, network simulations, technical calculations, and design analysis outputs.
• Improvement in Water Distribution and Sewer Network performance through optimization, pressure management, and operational enhancement recommendations.
• Timely preparation and submission of technical reports, DPR inputs, design calculations, and engineering documentation.
• Reduction in design inconsistencies, modeling errors, and technical rework through effective validation and quality assurance practices.
• Successful coordination with project teams, consultants, clients, and stakeholders for achievement of project milestones and deliverables.
• Effectiveness of hydraulic analysis in supporting infrastructure planning, system optimization, and operational decision-making processes.
• Compliance with engineering standards, project specifications, regulatory guidelines, and infrastructure design requirements.
• Enhancement of project execution efficiency through accurate technical analysis, modeling support, and engineering coordination.
• Continuous improvement in hydraulic modeling methodologies, technical capabilities, and infrastructure planning processes.
• Successful integration of GIS-based data, engineering drawings, and infrastructure datasets into hydraulic modeling workflows.
• Contribution towards operational excellence, technical innovation, and optimization initiatives within Water Infrastructure projects.

Skills & Competencies

• Strong expertise in Hydraulic Modeling, Water Distribution Systems, Sewerage Networks, and Urban Water Infrastructure planning.
• Proficiency in WaterGEMS, InfoWorks, or equivalent hydraulic modeling and network simulation platforms.
• Strong understanding of hydraulic engineering principles including flow analysis, pressure management, pump sizing, pipeline design, and network optimization.
• Hands-on experience in modeling, analysis, design evaluation, and optimization of Water Supply and Sewerage Infrastructure systems.
• Ability to interpret engineering drawings, GIS-based data, utility layouts, topographical maps, and network infrastructure documentation.
• Strong analytical, technical problem-solving, and data interpretation capabilities.
• Experience in preparation of technical reports, hydraulic calculations, feasibility studies, DPR documentation, and design submissions.
• Strong coordination and communication skills with the ability to collaborate effectively with multidisciplinary engineering teams and stakeholders.
• Knowledge of urban water infrastructure systems, smart water management practices, and municipal utility planning processes.
• Attention to detail with strong focus on technical accuracy, data validation, documentation quality, and engineering compliance.
• Ability to manage multiple assignments, deadlines, and project deliverables effectively in dynamic project environments.
• Proficiency in MS Office Suite, technical reporting tools, GIS integration workflows, and engineering documentation systems.
• Strong understanding of infrastructure project execution, engineering standards, and regulatory compliance requirements.
• Ability to drive continuous improvement, technical excellence, and innovation in hydraulic modeling and Water Infrastructure planning activities.

Experience

• Minimum 15–20 years of experience in Infrastructure Project Management across Water Supply, Sewerage, Building Works, and Road/Highway projects.
• Proven experience in leading multidisciplinary infrastructure projects with end-to-end responsibility for planning, execution, monitoring, and project delivery.
• Strong expertise in Project Management Consultancy (PMC), contract administration, technical supervision, and infrastructure execution management.
• Demonstrated leadership experience of at least 5 years in managing large-scale infrastructure projects and multidisciplinary engineering teams.
• Hands-on experience in preparation and review of Detailed Project Reports (DPRs), feasibility studies, technical specifications, BOQs, and engineering documentation.
• Strong exposure to procurement management including tender preparation, RFP development, bid evaluation, prequalification processes, and contract award recommendations.
• Proven capability in managing coordination among contractors, consultants, architects, Government agencies, funding authorities, and project stakeholders.
• Experience in reviewing engineering designs, drawings, technical specifications, QA/QC documentation, RA Bills, and contractual documents for infrastructure projects.
• Strong understanding of project scheduling, budgeting, cost control, resource planning, and infrastructure project monitoring methodologies.
• Demonstrated experience in enforcing quality assurance systems, safety standards, environmental compliance, and statutory regulations across project lifecycle.
• Prior experience in stakeholder management, reporting, project governance, and coordination with Government departments and funding agencies preferred.

Requirements

• Lead and supervise multidisciplinary project teams across Water Supply, Sewerage, Building Works, and Road/Highway infrastructure projects.
• Provide overall project leadership, technical direction, and project management oversight for successful execution and delivery of infrastructure projects.
• Define project objectives, scope, deliverables, timelines, and implementation strategies in alignment with client requirements and contractual obligations.
• Coordinate with contractors, consultants, Government agencies, funding authorities, and stakeholders to ensure smooth project execution and operational alignment.
• Prepare and review Draft Tender Documents, Requests for Proposals (RFPs), prequalification criteria, bid evaluation frameworks, and procurement documentation.
• Oversee tendering processes including prequalification assessment, technical bid evaluation, financial evaluation, and contract award recommendations.
• Develop and implement procurement and execution strategies aligned with project objectives, timelines, budgets, and quality standards.
• Review and validate engineering designs, technical drawings, BOQs, technical specifications, QA/QC documentation, and contractual submissions.
• Coordinate with design consultants, architects, engineers, and technical teams to ensure timely approvals and effective engineering integration.
• Review and approve engineering deliverables including drawings, QAP documents, contractual documentation, technical specifications, BOQs, and RA Bills.
• Monitor project execution activities, construction progress, quality standards, resource allocation, and milestone achievements across project lifecycle.
• Review DPRs, feasibility studies, cost estimates, project schedules, and implementation plans to ensure technical and operational accuracy.
• Develop project schedules, resource planning strategies, budgeting frameworks, and monitoring mechanisms using project management tools and methodologies.
• Identify project risks, technical challenges, operational bottlenecks, and implementation gaps and recommend appropriate corrective measures.
• Establish and enforce quality assurance, quality control, safety compliance, and environmental management systems across project activities.
• Conduct site inspections, audits, technical reviews, and compliance assessments to ensure adherence to contractual and statutory requirements.
• Ensure compliance with national and international engineering standards, environmental regulations, contractual obligations, and project governance frameworks.
• Act as the primary liaison with clients, Government authorities, funding agencies, contractors, consultants, and key project stakeholders.
• Prepare and present project status reports, technical presentations, progress updates, proposals, and strategic recommendations to management and clients.
• Facilitate effective communication and coordination between technical teams, non-technical stakeholders, contractors, and Government agencies.
• Drive timely project delivery, operational excellence, stakeholder satisfaction, and continuous improvement initiatives across infrastructure projects.

Key Performance Indicators

• Successful delivery of infrastructure projects within defined timelines, budgets, quality benchmarks, and contractual obligations.
• Achievement of project milestones, execution targets, and operational efficiency across Water, Sewerage, Building, and Road infrastructure projects.
• Effectiveness of project planning, monitoring, scheduling, budgeting, and resource allocation activities.
• Improvement in project execution quality, compliance adherence, risk mitigation, and operational governance mechanisms.
• Successful management of procurement activities including tender preparation, bid evaluation, contract recommendations, and execution coordination.
• Accuracy and quality of technical reviews, engineering validations, DPR assessments, BOQs, technical specifications, and project documentation.
• Reduction in project delays, technical escalations, contractual disputes, and operational bottlenecks through proactive management practices.
• Compliance with quality assurance systems, safety regulations, environmental guidelines, and statutory requirements across project lifecycle.
• Effectiveness of stakeholder engagement, contractor coordination, consultant management, and Government liaison activities.
• Enhancement of project governance, reporting accuracy, communication efficiency, and management information systems.
• Successful leadership and development of multidisciplinary project teams, technical resources, and operational capabilities.
• Continuous improvement in project execution methodologies, quality management systems, and infrastructure delivery processes.

Skills & Competencies

• Strong expertise in Infrastructure Project Management, Project Management Consultancy (PMC), and multidisciplinary engineering project execution.
• Proficiency in Water Supply, Sewerage, Building Works, Road/Highway Infrastructure, and urban infrastructure project ecosystems.
• Strong understanding of project planning, scheduling, budgeting, procurement management, contract administration, and execution monitoring processes.
• Hands-on experience in preparation and review of DPRs, technical specifications, engineering drawings, BOQs, QAP documents, and contractual documentation.
• Strong knowledge of procurement processes including tender preparation, RFP management, bid evaluation, prequalification assessment, and contract award procedures.
• Proficiency in project management methodologies and tools including MS Project, Primavera, and related project monitoring platforms.
• Strong understanding of engineering standards, quality assurance systems, safety compliance, environmental regulations, and statutory frameworks.
• Excellent leadership, team management, stakeholder engagement, negotiation, and decision-making capabilities.
• Strong analytical, technical problem-solving, risk management, and operational planning skills.
• Excellent communication, presentation, reporting, coordination, and client management capabilities.
• Ability to manage multidisciplinary teams, contractors, consultants, Government stakeholders, and large-scale infrastructure projects effectively.
• Strong organizational and governance capabilities with attention to detail, documentation quality, and execution excellence.
• Bachelor’s or Master’s Degree in Civil Engineering or related infrastructure discipline.
• Ability to drive operational excellence, project delivery efficiency, and continuous improvement initiatives across infrastructure project environments.

Experience

• Minimum 15–20+ years of experience in Transportation, Infrastructure, AEC, Smart Mobility, or Digital Engineering sectors.
• Proven experience in leading large-scale business development and sales initiatives across Government, PSU, and Private sector infrastructure projects.
• Strong expertise in strategic business expansion, market development, and revenue growth within Transportation and Infrastructure domains.
• Demonstrated experience in managing complete P&L responsibilities including budgeting, profitability, revenue realization, forecasting, and financial governance.
• Proven track record in conceptualizing, developing, negotiating, and closing large-value infrastructure deals exceeding ₹100 Cr+.
• Strong exposure to Geospatial, BIM, Digital Engineering, Construction Management, Asset Management, and Smart Infrastructure ecosystems.
• Hands-on experience in bid management, tendering processes, techno-commercial evaluation, contract frameworks, and strategic proposal management.
• Prior experience in engaging with Central Government, State Government, PSUs, consultants, EPC contractors, and strategic infrastructure stakeholders preferred.
• Demonstrated leadership capability in building and managing high-performing business development and regional sales teams.
• Strong understanding of infrastructure technology ecosystems including GIS, BIM, AI/ML, Digital Twins, IoT, and intelligent infrastructure platforms.

Requirements

• Define and drive the strategic roadmap for expansion and consolidation of the Transportation and AEC business portfolio across India.
• Own and manage the Transportation vertical as an independent cost center with complete accountability for revenue growth, profitability, margins, and financial performance.
• Lead end-to-end business development and sales initiatives for Transportation, Infrastructure, Smart Mobility, and Digital Engineering projects across Government, PSU, and Private sector clients.
• Develop and execute short-term and long-term Go-To-Market (GTM) strategies across Geospatial, BIM, Digital Engineering, Construction Management, and Asset Management domains.
• Build and maintain a strong sales pipeline, opportunity funnel, and forecasting mechanism to ensure achievement of business and revenue targets.
• Establish and nurture strategic relationships with Government agencies, PSUs, consultants, contractors, OEMs, and strategic partners across the Transportation ecosystem.
• Engage with technology partners including Bentley, Esri, Autodesk, system integrators, and vendors to deliver integrated infrastructure solutions.
• Act as a trusted advisor to clients by understanding technical, operational, financial, and business requirements and aligning solutions accordingly.
• Drive complete sales lifecycle management including opportunity identification, solutioning, bid strategy, techno-commercial evaluation, negotiation, and deal closure.
• Anchor and oversee preparation of high-value bids and proposals ensuring compliance, competitiveness, and successful positioning strategies.
• Drive innovation and identify emerging technologies and business opportunities across roads, highways, metro, railways, airports, smart cities, and urban infrastructure sectors.
• Promote adoption of next-generation technologies including AI/ML, Digital Twins, GIS-BIM integration, IoT, and intelligent infrastructure platforms.
• Monitor market trends, competitor landscape, and government programs including Bharatmala, Smart Cities Mission, and PM Gati Shakti initiatives to refine business strategies.
• Lead techno-commercial analysis, pricing strategies, risk assessment, and competitive benchmarking activities for bids and strategic pursuits.
• Build, mentor, and lead high-performing business development and sales teams across regions while driving operational excellence and accountability.
• Ensure strong collaboration between sales, pre-sales, delivery, marketing, and leadership teams for successful business execution and customer engagement.
• Establish KPIs, monitor business performance metrics, and ensure alignment with organizational growth objectives and financial goals.
• Provide strategic advisory and market insights to the Managing Director and Board on business expansion, investments, risks, and Transportation sector opportunities.
• Represent the organization at industry forums, conferences, client meetings, and strategic events to enhance market visibility and business presence.
• Drive proactive stakeholder engagement and maintain effective coordination with clients, partners, consultants, and internal teams for successful project and business outcomes.
• Ensure long-term relationship management, account growth, and strategic client engagement across Transportation and Infrastructure sectors.
• Willingness to travel extensively across India for business development, stakeholder engagement, and strategic growth initiatives.

Key Performance Indicators

• Achievement of annual revenue targets, business growth objectives, and profitability benchmarks across the Transportation vertical.
• Expansion of Transportation and AEC business portfolio through acquisition of strategic clients, projects, and infrastructure opportunities.
• Improvement in bid success ratio, deal conversion rates, and overall sales pipeline effectiveness.
• Successful closure of large-value infrastructure and Transportation deals with sustainable margin realization and profitability improvement.
• Growth in Government, PSU, and enterprise business engagements across Transportation and Smart Infrastructure sectors.
• Effectiveness of Go-To-Market strategies, regional business expansion initiatives, and market penetration programs.
• Enhancement of stakeholder relationships, customer satisfaction, and strategic account management effectiveness.
• Improvement in forecasting accuracy, financial governance, budgeting efficiency, and revenue realization processes.
• Successful positioning and adoption of Geospatial, BIM, Digital Engineering, AI/ML, and intelligent infrastructure solutions across projects and clients.
• Strengthening of OEM partnerships, ecosystem collaborations, and integrated infrastructure solution capabilities.
• Development of high-performing business development teams and improvement in regional sales productivity and operational efficiency.
• Continuous improvement in strategic planning, business processes, operational governance, and long-term market expansion initiatives.

Skills & Competencies

• Strong expertise in Transportation, Infrastructure, AEC, Smart Mobility, Digital Engineering, and Infrastructure Technology domains.
• Proficiency in business development, strategic sales, market expansion, and enterprise account management across Government, PSU, and Private sector engagements.
• Strong understanding of Geospatial technologies, BIM platforms, Digital Engineering ecosystems, Construction Management, and Asset Management solutions.
• Expertise in P&L management, financial planning, budgeting, forecasting, profitability analysis, and business governance.
• Hands-on experience in bid management, tendering processes, techno-commercial evaluation, contract negotiation, and strategic proposal management.
• Strong understanding of infrastructure technologies including GIS, BIM, AI/ML, IoT, Digital Twins, and intelligent infrastructure platforms.
• Ability to define and execute strategic Go-To-Market initiatives and long-term business growth plans across Transportation and Infrastructure sectors.
• Strong leadership capabilities in managing regional business development teams, strategic partnerships, and large enterprise engagements.
• Excellent stakeholder management skills with the ability to engage effectively with senior government officials, consultants, contractors, OEMs, and executive leadership teams.
• Strong analytical, strategic thinking, problem-solving, negotiation, and decision-making capabilities.
• Excellent communication, presentation, collaboration, and executive management skills.
• Proficiency in CRM platforms, sales analytics tools, MS Office, reporting dashboards, and enterprise collaboration systems.
• Experience in working with OEM ecosystems including Bentley, Esri, Autodesk, and enterprise infrastructure technology partners is highly desirable.
• Ability to drive innovation, digital transformation initiatives, and long-term strategic growth across Transportation and Infrastructure businesses.

Experience

• Minimum 15+ years of experience in GIS, BIM, Smart Infrastructure, or Digital Engineering project delivery.
• Proven experience in leading large-scale digital infrastructure programs with end-to-end execution ownership.
• Strong expertise in P&L management, financial governance, budgeting, and profitability management.
• Prior experience in stakeholder management, management reporting, and leadership governance preferred.
• Demonstrated capability in delivering enterprise-scale digital transformation initiatives involving GIS, BIM, IoT, and intelligent infrastructure systems.

Requirements

• Lead delivery of large-scale Digital Project Management Systems (DPMS) integrating GIS, BIM, and enterprise digital platforms.
• Drive execution of Intelligent Traffic Management Systems (ITMS), Multi-Lane Free Flow (MLFF) tolling systems, and IoT-based Structural Health Monitoring (SHM) solutions.
• Own and manage complete P&L responsibilities including budgeting, revenue realization, cost optimization, and margin improvement initiatives.
• Track financial performance, project forecasts, profitability metrics, and operational efficiency across programs.
• Define technology architecture, integration frameworks, and digital transformation strategies aligned with business objectives.
• Manage end-to-end project lifecycle including planning, execution, delivery governance, quality assurance, and cost control.
• Publish management reports, dashboards, MIS, and performance analytics for leadership and stakeholder review.
• Present program status, project financials, operational risks, and strategic insights to senior management and executive leadership.
• Engage with government clients, consultants, technology partners, and external stakeholders as a key point of contact.
• Lead cross-functional teams across GIS, BIM, software engineering, IoT, and digital infrastructure domains.
• Establish governance frameworks, risk management processes, compliance standards, and delivery best practices.
• Drive project monitoring, issue resolution, escalation management, and continuous improvement initiatives.
• Support pre-sales activities, technical solutioning, bid management, and RFP response preparation.
• Ensure successful implementation of scalable, secure, reliable, and high-performance digital infrastructure solutions.
• Maintain technical documentation, project governance standards, operational procedures, and delivery workflows.
• Collaborate closely with business, engineering, operations, and leadership teams to ensure successful program execution.

Key Performance Indicators

• Successful delivery of large-scale digital infrastructure and smart mobility projects within defined timelines and budgets.
• Achievement of revenue targets, profitability goals, margin improvement, and financial performance benchmarks.
• Program delivery effectiveness measured through quality, governance compliance, and stakeholder satisfaction.
• Reduction in project risks, operational escalations, and delivery bottlenecks across programs.
• Efficiency of project governance, reporting mechanisms, and management information systems.
• Improvement in project execution workflows, cost optimization, and resource utilization effectiveness.
• Successful implementation of scalable, reliable, and secure GIS, BIM, ITMS, MLFF, and SHM solutions.
• Enhancement of team productivity, cross-functional collaboration, and delivery capability development.
• Continuous improvement in technology adoption, operational efficiency, and digital transformation initiatives.

Skills & Competencies

• Strong expertise in Digital Project Management Systems (DPMS), GIS, BIM, Smart Infrastructure, and Digital Engineering domains.
• Proficiency in delivering Intelligent Traffic Management Systems (ITMS), MLFF tolling systems, and IoT-based monitoring solutions.
• Strong understanding of enterprise architecture, system integration frameworks, and digital transformation strategies.
• Proven experience in P&L ownership, financial planning, budgeting, forecasting, and profitability management.
• Strong exposure to management reporting, MIS preparation, executive dashboards, and stakeholder governance.
• Experience in leading cross-functional teams across GIS, BIM, software engineering, IoT, and infrastructure technology domains.
• Solid understanding of project lifecycle management, governance frameworks, risk management, and quality assurance processes.
• Ability to manage government stakeholders, consultants, partners, and large enterprise engagements effectively.
• Strong analytical, decision-making, troubleshooting, and problem-solving capabilities.
• Excellent communication, presentation, collaboration, and leadership management skills.
• Ability to drive operational excellence, delivery optimization, and continuous improvement initiatives across programs.
• Proficiency in MS Office, enterprise reporting tools, and project management platforms.

Experience

• Minimum 2+ years of experience in backend development.
• Hands-on experience in API development, backend system implementation, and database management.
• Proven experience working with scalable backend applications and server-side technologies preferred.

Requirements

• Hands-on experience in API development, backend system implementation, and database management.
• Proven experience working with scalable backend applications and server-side technologies preferred.
• Develop, maintain, and optimize backend services, APIs, and server-side application logic.
• Design and implement scalable RESTful APIs supporting web and mobile applications.
• Work with relational databases such as PostgreSQL and MySQL for schema design, query optimization, and data management.
• Ensure backend systems are secure, scalable, reliable, and high-performing.
• Collaborate with frontend developers, QA teams, and product stakeholders to deliver application features and enhancements.
• Write clean, maintainable, efficient, and well-documented code following development best practices and coding standards.
• Debug, troubleshoot, and resolve backend application issues, production incidents, and performance bottlenecks.
• Participate in code reviews and contribute to improving backend architecture and engineering standards.
• Assist in deployment, monitoring, maintenance, and optimization of backend systems and services.
• Support CI/CD workflows, deployment automation, and version control processes.
• Implement authentication, authorization, and security best practices within backend applications and APIs.
• Basic understanding of microservices architecture and distributed backend systems.
• Exposure to cloud platforms such as AWS, Azure, or GCP will be considered an added advantage.
• Strong analytical thinking, debugging, and problem-solving capabilities.
• Ability to work independently as well as collaboratively within cross-functional teams.
• Excellent communication, collaboration, presentation, and teamwork skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Timely delivery of backend modules, APIs, and assigned development tasks.
• API performance metrics including response time, throughput, scalability, and reliability.
• Code quality measured through maintainability, low defect rates, and adherence to coding standards.
• Reduction in production issues and faster issue resolution turnaround time.
• Database efficiency through optimized queries, indexing, and performance tuning.
• Contribution to overall system stability, scalability, and backend architecture improvements.
• Successful deployment cycles with minimal downtime or rollback incidents.

Skills & Competencies

• Proficiency in backend technologies such as Node.js, Python, Java, or similar frameworks.
• Strong understanding of RESTful API development and client-server architecture.
• Experience with relational databases including PostgreSQL, MySQL, or equivalent technologies.
• Basic understanding of microservices architecture and backend scalability concepts.
• Familiarity with authentication, authorization, API security, and secure coding practices.
• Experience with Git workflows and version control systems.
• Exposure to CI/CD pipelines, deployment automation, and DevOps practices.
• Basic understanding of cloud platforms including AWS, Azure, or GCP.
• Strong troubleshooting, debugging, and analytical problem-solving skills.
• Ability to collaborate effectively in agile and cross-functional development environments.
• Excellent communication, presentation, and collaboration abilities.

Requirements

• Develop and maintain scalable web applications across frontend and backend layers.
• Build responsive, intuitive, and user-friendly interfaces using modern frontend frameworks such as React, Angular, or Vue.js.
• Design, develop, and maintain RESTful APIs and backend services using technologies like Node.js, Python, or Java.
• Work with relational databases such as PostgreSQL or MySQL, including schema design, query optimization, and performance tuning.
• Collaborate closely with product, QA, and design teams to understand business requirements and translate them into technical solutions.
• Write clean, maintainable, and well-documented code following development best practices and coding standards.
• Participate in code reviews and contribute to improving engineering processes and development standards.
• Debug, troubleshoot, and resolve issues across development, testing, and production environments.
• Support CI/CD pipelines, deployment activities, and release management processes.
• Ensure application scalability, security, reliability, and performance optimization.
• Familiarity with Git workflows, version control systems, and collaborative development practices.
• Exposure to cloud platforms such as AWS, Azure, or GCP is an added advantage.
• Basic understanding of microservices architecture and distributed systems.
• Strong analytical, problem-solving, and debugging capabilities.
• Excellent communication, collaboration, presentation, and teamwork skills.
• Ability to quickly learn and adapt to new technologies and frameworks.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Timely delivery of assigned features, modules, and sprint tasks.
• Code quality, maintainability, and adherence to development standards.
• Application performance, scalability, and response optimization.
• Reduction in post-release defects and production issues.
• Contribution to effective code reviews and engineering best practices.
• Active participation in sprint planning, execution, and team productivity goals.
• Successful deployment cycles with minimal rollback incidents.

Skills & Competencies

• Strong expertise in frontend technologies (React / Angular / Vue.js or similar).
• Experience in backend development using Node.js, Python, Java, or similar technologies.
• Solid understanding of REST APIs, client-server architecture, and web application development.
• Experience with relational databases such as PostgreSQL or MySQL.
• Knowledge of Git, CI/CD pipelines, and deployment workflows.
• Basic understanding of cloud infrastructure and services (AWS / Azure / GCP).
• Strong debugging, troubleshooting, and optimization skills.
• Effective communication and cross-functional collaboration abilities.

Requirements

• Lead and mentor the DevOps team by providing technical guidance, enforcing best practices, and driving engineering excellence.
• Design, implement, and optimize CI/CD pipelines for reliable, scalable, and automated application deployments.
• Build and manage secure, scalable, and highly available cloud infrastructure across AWS, Azure, or GCP environments.
• Drive Infrastructure as Code (IaC) adoption using tools such as Terraform, CloudFormation, or equivalent technologies.
• Collaborate closely with development, QA, and product teams to streamline build, release, deployment, and operational workflows.
• Implement monitoring, logging, and alerting solutions to ensure infrastructure reliability, system uptime, and operational visibility.
• Enforce security best practices across infrastructure, deployment pipelines, and cloud environments through DevSecOps principles.
• Optimize infrastructure performance, scalability, resource utilization, and cloud cost efficiency.
• Manage and support containerization and orchestration platforms including Docker and Kubernetes.
• Handle incident management, root cause analysis, troubleshooting, and continuous improvement initiatives for production systems.
• Define, standardize, and maintain DevOps governance, operational processes, and technical documentation.
• Support high-availability environments and ensure adherence to SLA/SLO commitments.
• Drive automation initiatives across infrastructure provisioning, testing, deployment, and operational tasks.
• Stay updated with emerging DevOps technologies, cloud-native architectures, and industry best practices.
• Strong leadership, communication, stakeholder management, and cross-functional collaboration skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Deployment frequency and reduced lead time for releases and changes.
• Reduction in deployment failures, downtime incidents, and rollback occurrences.
• System reliability, uptime, and SLA/SLO adherence across environments.
• Improved Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) incidents.
• Infrastructure cost optimization and efficient resource utilization.
• Increased automation coverage across CI/CD, testing, deployment, and monitoring processes.
• Security compliance adherence and reduction in infrastructure vulnerabilities.
• Successful delivery of scalable, reliable, and high-performing cloud infrastructure solutions.

Skills & Competencies

• Strong expertise in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar platforms.
• Hands-on experience with cloud platforms including AWS, Azure, and GCP.
• Strong knowledge of Infrastructure as Code (Terraform, CloudFormation, or equivalent tools).
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with monitoring, logging, and observability tools including Prometheus, Grafana, and ELK Stack.
• Strong scripting and automation skills using Bash, Python, or similar languages.
• Solid understanding of networking, infrastructure security, system administration, and cloud-native architectures.
• Experience implementing DevSecOps practices, security policies, and compliance standards.
• Strong troubleshooting, analytical, and problem-solving capabilities.
• Ability to define and execute DevOps strategies, roadmaps, and operational improvements.
• Proven leadership and mentoring skills for managing DevOps teams and engineering initiatives.
• Excellent communication, collaboration, and stakeholder management abilities.
• Bachelor’s degree in Engineering, Computer Science, IT, or related field.
• Master’s / Postgraduate qualification preferred but not mandatory.
• 5+ years of experience in DevOps, Cloud Infrastructure, or Platform Engineering.
• Minimum 2+ years of experience in a leadership or DevOps Lead role.
• Proven expertise in managing production-grade infrastructure, CI/CD pipelines, and enterprise-scale deployments.

Experience

• Minimum 3+ years of experience in QA and testing of web applications.
• Experience in testing 3D visualization, GIS, geospatial, or graphics-intensive applications preferred.
• Hands-on exposure to functional testing, API validation, and performance testing methodologies.

Requirements

• Design, develop, and execute comprehensive test cases for interactive 3D web applications involving point clouds, meshes, 3D models, and geospatial datasets.
• Validate rendering accuracy, visual consistency, spatial correctness, and user interactions across 3D environments and visualization platforms.
• Perform functional, regression, integration, exploratory, and usability testing across web-based 3D applications.
• Test large-scale datasets including point clouds, 3D tiles, and spatial models for rendering behavior, loading performance, and stability.
• Validate application features such as measurement tools, annotations, layer controls, navigation systems, editing tools, and visualization workflows.
• Collaborate closely with developers, GIS teams, product managers, and domain experts to understand business requirements, technical workflows, and edge cases.
• Identify, document, track, and validate defects with detailed reproduction steps, severity analysis, and impact assessment.
• Perform API testing and validate backend integrations using tools such as Postman, Swagger, or equivalent platforms.
• Conduct cross-browser, cross-platform, and cross-device testing to ensure compatibility and consistent user experience.
• Contribute to automation initiatives for UI and API testing using tools such as Selenium, Cypress, or similar frameworks.
• Validate application performance under varying loads and large spatial/3D datasets to identify rendering bottlenecks and optimization opportunities.
• Participate actively in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives to ensure timely QA deliverables.
• Support continuous improvement of QA processes, testing methodologies, and quality standards across projects.
• Maintain detailed test documentation, defect reports, test plans, and QA metrics.
• Strong analytical thinking, debugging, and problem-solving capabilities.
• Excellent attention to detail, especially for visual, spatial, and rendering validations.
• Strong communication, collaboration, presentation, and stakeholder interaction skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Defect detection effectiveness and reduction in production defects.
• Accuracy and quality of 3D visualization validation including geometry, rendering correctness, and spatial measurements.
• Test coverage across functional, regression, integration, usability, and performance testing scenarios.
• Performance validation metrics including rendering stability, load times, and responsiveness for large datasets.
• Timely completion of QA cycles aligned with sprint timelines and release schedules.
• Effectiveness of defect reporting, issue tracking, and turnaround time for defect resolution.
• Contribution to test automation, QA process optimization, and quality improvement initiatives.
• Improvement in application stability, reliability, and end-user experience across 3D platforms.

Skills & Competencies

• Strong experience in manual testing of web applications and enterprise platforms.
• Exposure to testing 3D visualization systems involving point clouds, meshes, digital twins, or 3D models.
• Understanding of 3D concepts including coordinate systems, transformations, projections, rendering pipelines, and camera/navigation controls.
• Knowledge of geospatial concepts such as map projections, coordinate reference systems, and spatial data handling is preferred.
• Experience with API testing tools such as Postman, Swagger, or similar platforms.
• Familiarity with test management and defect tracking tools including Jira, TestRail, or equivalent systems.
• Basic knowledge of UI/API automation tools such as Selenium, Cypress, or related frameworks.
• Understanding of performance testing concepts and validation of rendering-heavy applications.
• Ability to work with large datasets and identify rendering, memory, and performance-related issues.
• Strong analytical, troubleshooting, debugging, and problem-solving skills.
• High attention to detail for visual, functional, and spatial validation scenarios.
• Effective communication, collaboration, and teamwork capabilities.

Experience

• Minimum 3+ years of experience in AI/ML with strong focus on Computer Vision.
• Hands-on experience in point cloud processing, LiDAR analytics, or 3D AI-based projects.
• Experience working with advanced vision architectures such as SAM, SuperPoint, Vision Transformers, or equivalent AI models preferred.

Requirements

• Develop, train, and optimize AI models for point cloud data processing, segmentation, object detection, classification, and spatial intelligence applications.
• Work with advanced computer vision architectures such as SuperPoint, SAM (Segment Anything Model), Vision Transformers, and related deep learning models.
• Design and implement scalable pipelines for processing LiDAR and point cloud datasets including LAS/LAZ files, 3D Tiles, and related spatial data formats.
• Perform preprocessing, augmentation, normalization, annotation, and dataset preparation for large-scale 3D and multimodal datasets.
• Optimize AI models for accuracy, scalability, memory efficiency, and real-time or near real-time inference performance.
• Collaborate closely with GIS, 3D visualization, backend, and product teams to integrate AI models into production-grade applications and workflows.
• Evaluate model performance using metrics such as precision, recall, IoU, F1-score, and inference benchmarks, while continuously improving model quality through iterative experimentation.
• Work on multimodal AI solutions combining point clouds, images, videos, and geospatial datasets.
• Research, experiment with, and implement emerging AI/ML advancements in computer vision, generative AI, and 3D intelligence.
• Support model deployment, serving, monitoring, retraining, and lifecycle management through MLOps practices.
• Implement efficient data pipelines and workflows for handling large-scale spatial and visualization datasets.
• Contribute to AI architecture discussions, technical documentation, and reusable framework development.
• Ensure robustness, reliability, and maintainability of deployed AI systems and inference pipelines.
• Work closely with cross-functional engineering teams to troubleshoot model behavior, performance bottlenecks, and deployment challenges.
• Strong analytical thinking, debugging, and problem-solving capabilities.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Excellent communication, collaboration, presentation, and stakeholder interaction skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Accuracy and effectiveness of AI models measured through precision, recall, IoU, F1-score, and related performance metrics.
• Performance and scalability of models on large-scale point cloud and 3D datasets.
• Reduction in model inference time, latency, and computational resource consumption.
• Successful deployment and integration of AI models into enterprise-grade production systems.
• Quality, efficiency, and reliability of data preprocessing, annotation, and training pipelines.
• Continuous improvement in model performance through experimentation, tuning, and optimization iterations.
• Stability, reliability, and maintainability of deployed AI solutions and inference services.
• Contribution to innovation and adoption of advanced AI techniques across projects.

Skills & Competencies

• Strong experience in Computer Vision, Deep Learning, and AI model development.
• Hands-on expertise in point cloud processing, 3D data handling, and spatial intelligence applications.
• Familiarity with advanced AI models such as SuperPoint, SAM, Vision Transformers, and related architectures.
• Proficiency in AI/ML frameworks including PyTorch, TensorFlow, Open3D, and similar libraries.
• Experience working with LiDAR datasets, LAS/LAZ formats, 3D Tiles, and point cloud processing workflows.
• Strong understanding of 3D geometry, spatial transformations, coordinate systems, and visualization concepts.
• Knowledge of model optimization techniques including quantization, pruning, acceleration, and inference optimization.
• Experience with dataset creation, annotation tools, and labeling workflows for AI training pipelines.
• Familiarity with MLOps practices including model deployment, monitoring, retraining, and CI/CD for ML systems.
• Exposure to GIS, geospatial intelligence, or spatial analytics platforms is highly preferred.
• Strong analytical, debugging, troubleshooting, and problem-solving capabilities.
• Ability to collaborate effectively with cross-functional technical teams.
• Excellent communication, presentation, and collaboration skills.

Qualification

Bachelor’s degree in Engineering, Computer Science, AI, Data Science, or related field.

Master’s / Postgraduate qualification in AI/ML/Data Science or related domain preferred.

Experience

• Minimum 5+ years of experience in the AI/ML domain.
• Minimum 2+ years of experience in a technical leadership or Team Lead role.
• Proven expertise in designing and delivering production-grade AI solutions and enterprise-scale AI systems.

Requirements

• Lead and mentor a team of AI engineers by providing technical direction, project guidance, and career development support.
• Understand complex business challenges across GIS, AEC, water, power, and related domains, and translate them into scalable AI-driven solutions.
• Define and drive end-to-end AI solution architecture including data pipelines, model development, training, deployment, and monitoring.
• Lead development of AI models focused on computer vision, OCR, image/video analytics, point cloud processing, and LLM-based applications.
• Establish and enforce best practices for data annotation, dataset preparation, model training, evaluation, validation, and continuous optimization.
• Drive innovation and adoption of advanced AI/ML technologies including Generative AI, LLMs, multimodal AI, and vision intelligence frameworks.
• Collaborate with cross-functional teams including product, GIS, engineering, domain experts, and business stakeholders for successful solution delivery.
• Ensure scalability, reliability, performance optimization, and production readiness of deployed AI systems.
• Define and implement MLOps strategies including CI/CD for ML pipelines, model versioning, retraining, monitoring, and lifecycle management.
• Contribute to pre-sales activities, technical proposals, architecture discussions, and AI-driven solution design initiatives.
• Guide the team in solving complex technical challenges involving AI model performance, inference optimization, and large-scale deployments.
• Drive AI governance, model explainability, security, and responsible AI practices across projects.
• Maintain technical documentation, architecture standards, reusable AI frameworks, and knowledge-sharing practices.
• Mentor mid-level AI engineers and build strong technical capabilities within the team.
• Strong communication, stakeholder management, collaboration, and presentation skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Accuracy, precision, recall, F1-score, and overall performance of deployed AI models.
• Successful delivery of AI solutions aligned with business requirements, timelines, and quality standards.
• Improvement in model scalability, inference efficiency, and production performance.
• Reduction in production issues, false predictions, and model drift through continuous optimization.
• Team productivity, capability development, and retention.
• Adoption and effectiveness of ML Ops practices, automation pipelines, and AI lifecycle management.
• Innovation and implementation of advanced AI techniques improving operational and business outcomes.
• Successful deployment of reliable, scalable, and production-grade AI systems across multiple domains.

Skills & Competencies

• Strong expertise in Artificial Intelligence and Machine Learning with focus on Computer Vision, OCR, and Large Language Models (LLMs).
• Hands-on experience with image processing, video analytics, point cloud processing, and geospatial AI workflows.
• Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, and related AI libraries.
• Experience with LLMs, prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and custom model development.
• Strong understanding of data annotation, dataset engineering, model evaluation, and validation methodologies.
• Experience with MLOps tools, model deployment pipelines, monitoring systems, and ML lifecycle management.
• Familiarity with cloud platforms such as AWS, Azure, or GCP for AI workloads and scalable infrastructure deployment.
• Exposure to GIS, geospatial intelligence, AEC, water, or power domain applications is highly preferred.
• Strong system architecture, analytical thinking, debugging, and problem-solving capabilities.
• Ability to define AI technical roadmaps aligned with business and product strategies.
• Leadership capabilities to mentor engineers, drive innovation, and manage cross-functional technical initiatives.
• Excellent communication, collaboration, presentation, and stakeholder management skills.

Master’s / Postgraduate qualification preferred in Software Engineering, Systems, Architecture, or related domain.

Experience

• Minimum 6+ years of experience in software development and system architecture.
• Minimum 2+ years of experience in a Technical Architect or equivalent leadership role.
• Proven expertise in designing and delivering enterprise-scale web applications, distributed systems, and cloud-native platforms.

Requirements

• Define, design, and own end-to-end architecture for enterprise-scale web applications including frontend, backend, APIs, integrations, and cloud infrastructure.
• Translate complex business and domain requirements across GIS, AEC, water, power, and related industries into scalable and efficient technical solutions.
• Architect microservices-based, cloud-native, secure, and highly available systems aligned with enterprise standards and business objectives.
• Provide architectural leadership and technical direction to development teams on system design, coding standards, scalability, and engineering best practices.
• Review and approve technical designs, workflows, integration patterns, database models, and deployment strategies.
• Collaborate closely with product, AI, GIS, DevOps, QA, and engineering teams for integrated solution delivery and architecture alignment.
• Define API strategies, integration frameworks, event-driven communication patterns, and data exchange mechanisms across enterprise platforms.
• Ensure application performance optimization, fault tolerance, reliability, security, and scalability under production workloads.
• Drive adoption of best practices in system architecture, DevOps alignment, cloud-native engineering, and secure software development.
• Guide teams in implementing reusable frameworks, modular architecture patterns, and standardized engineering practices.
• Participate in pre-sales engagements, solution architecture discussions, technical estimations, and proposal development for enterprise projects.
• Evaluate, recommend, and implement emerging technologies aligned with business goals, scalability needs, and industry trends.
• Support architecture governance, technical documentation, technology roadmaps, and long-term platform evolution strategies.
• Work with large-scale datasets, analytics platforms, visualization systems, and distributed architectures for enterprise-grade solutions.
• Provide mentorship and leadership to senior engineers, technical leads, and cross-functional development teams.
• Strong communication, stakeholder management, technical presentation, and collaboration skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Scalability, reliability, and performance of applications under enterprise production workloads.
• Architecture quality measured through modularity, maintainability, extensibility, and reusability.
• Reduction in system downtime, technical debt, and performance bottlenecks.
• Successful delivery of solutions aligned with business objectives and domain-specific requirements.
• Standardization and reuse of architecture components, frameworks, and design patterns across projects.
• API performance, system integration efficiency, and platform interoperability.
• Team adherence to architectural standards, coding guidelines, and engineering best practices.
• Improvement in system security, fault tolerance, and operational scalability.

Skills & Competencies

• Strong expertise in full-stack web application architecture including frontend, backend, APIs, and integrations.
• Experience with frontend technologies such as React, Angular, Vue.js, or similar frameworks.
• Backend architecture and development expertise using Java/Spring Boot, Node.js, Python, or equivalent technologies.
• Deep understanding of microservices architecture, distributed systems, scalable system design, and enterprise integration patterns.
• Strong knowledge of REST APIs, event-driven architecture, messaging systems, and asynchronous communication models.
• Experience with relational, NoSQL, and spatial databases including PostgreSQL, MongoDB, or geospatial database technologies.
• Familiarity with cloud platforms such as AWS, Azure, or GCP and cloud-native solution architecture.
• Understanding of containerization technologies including Docker, Kubernetes, and DevOps practices.
• Exposure to GIS systems, geospatial intelligence, AEC workflows, or infrastructure domain solutions is highly preferred.
• Experience handling large-scale data systems, enterprise analytics platforms, and visualization frameworks.
• Strong analytical thinking, architecture decision-making, troubleshooting, and problem-solving capabilities.
• Ability to define long-term technical roadmaps aligned with product strategy and business goals.
• Leadership capabilities to guide multiple engineering teams and mentor senior technical professionals.
• Excellent communication, collaboration, stakeholder management, and technical presentation skills.

Experience

• Minimum 6–10 years of experience in software delivery, technical project management, or related roles.
• Proven experience working in Agile/Scrum-based software delivery environments is mandatory.
• PMP, Scrum Master, Agile, or related project management certifications will be considered an added advantage.
• Experience managing enterprise-scale web application or digital transformation projects preferred.

Requirements

• Lead end-to-end delivery of software projects from requirement gathering and planning through development, testing, deployment, and final release.
• Define project scope, timelines, milestones, deliverables, and resource allocation strategies aligned with business objectives and technical requirements.
• Coordinate closely with engineering, QA, DevOps, product, and cross-functional teams to ensure seamless project execution and delivery.
• Translate business requirements into technical tasks, user stories, sprint plans, and actionable execution roadmaps.
• Monitor project progress, dependencies, risks, blockers, and resource utilization while implementing effective mitigation and escalation strategies.
• Lead Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, backlog grooming, and release planning sessions.
• Ensure adherence to defined quality standards, UAT sign-offs, release readiness, and successful production deployments.
• Communicate project updates, progress reports, delivery metrics, and risks proactively to internal and external stakeholders.
• Manage stakeholder expectations and facilitate effective collaboration between technical and business teams.
• Maintain comprehensive project documentation including schedules, reports, sprint metrics, risk logs, and delivery dashboards.
• Ensure alignment of project execution with Agile best practices, engineering processes, and organizational standards.
• Collaborate with technical leads and architects to support solution planning, technical estimations, and delivery feasibility assessments.
• Drive continuous improvement initiatives for project execution efficiency, Agile maturity, and delivery predictability.
• Support release management, CI/CD coordination, deployment planning, and production readiness activities.
• Handle multiple projects and priorities effectively in a fast-paced and dynamic environment.
• Strong analytical thinking, leadership, coordination, and problem-solving capabilities.
• Excellent communication, stakeholder management, presentation, and negotiation skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Successful on-time and within-scope delivery of software projects and releases.
• Adherence to project timelines, milestones, sprint commitments, and resource utilization plans.
• Reduction in delivery risks, project escalations, and unresolved blockers through proactive management.
• Quality of deliverables measured through low defect leakage and successful UAT approvals.
• Stakeholder satisfaction, communication effectiveness, and project transparency.
• Improvement in sprint velocity, delivery predictability, and Agile process maturity.
• Accuracy, completeness, and consistency of project documentation and reporting.
• Successful coordination of releases, deployments, and production readiness activities.

Skills & Competencies

• Strong understanding of web application architecture including frontend, backend, APIs, databases, and integrations.
• Experience working with frontend technologies such as React, Angular, or similar frameworks.
• Familiarity with backend technologies including Java, Python, Node.js, or equivalent platforms.
• Knowledge of relational databases such as PostgreSQL, MySQL, or similar systems.
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Hands-on experience with Agile, Scrum, and iterative delivery methodologies.
• Proficiency in project management and collaboration tools such as Jira, Confluence, MS Project, or similar platforms.
• Understanding of DevOps practices, CI/CD pipelines, release management, and deployment workflows.
• Strong project planning, execution, coordination, and organizational skills.
• Ability to manage multiple stakeholders, priorities, and concurrent delivery tracks effectively.
• Leadership mindset with strong ownership, accountability, and attention to detail.
• Strong analytical thinking, risk management, and decision-making capabilities.
• Excellent communication, collaboration, presentation, and stakeholder management skills.

Experience

• Minimum 5+ years of experience in full-stack web application development.
• Prior experience in technical leadership, architecture ownership, or lead developer role preferred.
• Proven expertise in delivering scalable enterprise-grade web applications and digital platforms.

Requirements

• Lead end-to-end development of scalable, secure, and high-performance web applications and digital platforms.
• Drive technical architecture, system design decisions, and engineering best practices across frontend, backend, and integrations.
• Perform hands-on development for frontend and backend modules using modern frameworks and technologies.
• Design, develop, and maintain RESTful APIs, microservices, and data access layers.
• Build responsive, user-friendly, and optimized user interfaces using frameworks such as React, Angular, or Vue.js.
• Develop backend services and business logic using technologies such as Java/Spring Boot, Node.js, or Python.
• Collaborate closely with product, project, QA, and cross-functional teams to convert business requirements into scalable technical solutions.
• Mentor and guide development teams through code reviews, technical direction, and engineering standards.
• Ensure application scalability, performance optimization, security compliance, and system reliability.
• Drive best practices in coding standards, automated testing, CI/CD pipelines, deployment strategies, and release management.
• Manage production support activities including troubleshooting, root cause analysis, bug resolution, and continuous system improvements.
• Work with relational databases such as PostgreSQL and MySQL for schema design, optimization, and data management.
• Support cloud-native deployments and infrastructure integration across AWS, Azure, or GCP environments.
• Exposure to GIS, spatial data, or geospatial technologies will be considered an added advantage.
• Maintain technical documentation, architecture standards, and development workflows.
• Strong communication, presentation, collaboration, and stakeholder management skills.
• Proficiency in MS Office and enterprise collaboration tools.

Key Performance Indicators

• Timely delivery of scalable, secure, and high-quality web applications.
• Code quality metrics including maintainability, low defect density, and adherence to engineering standards.
• Application and infrastructure performance benchmarks including response time, scalability, and uptime.
• Reduction in production issues and improvement in issue resolution turnaround time.
• Effectiveness of CI/CD pipelines measured through deployment frequency, deployment success rate, and rollback efficiency.
• Team productivity, technical capability enhancement, and mentorship effectiveness.
• Successful implementation of secure, reliable, and compliant web solutions.
• Continuous improvement in application architecture, performance optimization, and development workflows.

Skills & Competencies

• Strong expertise in full-stack web application development across frontend and backend technologies.
• Proficiency in frontend frameworks such as React, Angular, Vue.js, or similar technologies.
• Backend development expertise using Java/Spring Boot, Node.js, Python, or equivalent technologies.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems.
• Experience with relational databases including PostgreSQL, MySQL, or similar platforms.
• Solid understanding of system design, scalability, security principles, and performance optimization.
• Hands-on experience with CI/CD pipelines, Git workflows, automated deployment strategies, and containerization technologies such as Docker.
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Exposure to GIS, geospatial platforms, or spatial data systems is a plus.
• Strong analytical, debugging, troubleshooting, and problem-solving skills.
• Leadership capabilities to mentor developers and drive technical excellence across teams.
• Excellent communication, collaboration, presentation, and stakeholder management skills.

Requirements

• Travel to Cedar Rapids, Iowa as needed (initially frequent, then ongoing regular basis).
• Produce, update, and maintain 2D AutoCAD drawings based on survey data and project specifications.
• Collaborate with Field Capture Technicians and Operational Support Specialists to translate field data into accurate CAD deliverables.
• Review and modify existing drawings per client requests and project revisions.
• Ensure drafting outputs adhere to company standards, client specifications, and industry best practices.
• Maintain organized drawing files and documentation throughout the project lifecycle.
• Coordinate with the Manager of Service Delivery to prioritize workload and meet deadlines.
• Assist with developing drafting standards, templates, and workflows for efficiency and consistency.
• Proficiency in AutoCAD and related CAD tools; familiarity with GIS or geospatial data integration is a plus.
• Strong attention to detail and ability to interpret technical drawings, survey notes, and field data.
• Excellent organizational skills for managing multiple projects simultaneously.
• Strong communication and collaboration abilities.
• Ability to sit and work prolonged periods at a computer, lift/carry up to 45 pounds occasionally, and travel up to 75%, including overnight stays.
• Physical capability to climb ladders, stairs, and work at heights or construction sites, with adequate vision and situational awareness in field environments.

Requirements

• Design, develop, program, and troubleshoot Allen Bradley PLC systems.
• Configure, integrate, and support Siemens HMI applications for automated systems.
• Work with Bradley Global Common architecture for system standardization and optimization.
• Collaborate with cross-functional teams in manufacturing and assembly operations.
• Provide technical support, testing, and commissioning of control systems.
• Ensure compliance with industry standards, safety protocols, and customer requirements.
• Support continuous improvement initiatives within control systems and automation.
• Strong expertise in PLC programming (Allen Bradley / Rockwell Automation) and HMI development (Siemens).
• Prior experience in Trim General Assembly projects highly desirable.
• Strong troubleshooting, problem-solving, and analytical skills.
• Excellent communication and collaboration skills.

Requirements

• Proven experience in mechanical design, with at least 5 years focused on investment casting machinery
• Strong expertise in machine design, SPM, hydraulic systems, and casting process optimization
• Proficiency in CAD tools (SolidWorks, Catia) and casting simulation software
• Strong collaboration, interpersonal, and communication skills to work effectively with cross-functional teams, including production, QA, maintenance, suppliers, and customers
• Experience leading and mentoring cross-functional engineering and designing teams
• Track record of delivering New Product Development (NPD) and New Product Introduction (NPI) projects on time with adherence to quality standards.
• Ability to analyze and improve manufacturing processes to reduce scrap, rework, and costs

Requirements

• Lead project management and engineering for PCR/LTR tire development for OE applications.
• Collaborate with internal departments and customers to meet OE performance requirements.
• Design green and cured tires using company guidelines, simulation tools, and ensure compliance.
• Conduct analytical analysis on design features, manufacturing processes, and characteristics.
• Oversee testing, analyze data, and conduct design reviews and technical reports.
• Manage project budgets, documentation, and coordinate timely delivery of development milestones.
• Apply knowledge of engineering tools, tire materials, production processes, and quality control.
• Use strong problem-solving and communication skills to manage multiple projects effectively.

Requirements

• Ph.D. in Mechanical Engineering with a focus on structural dynamics
• Strong expertise in CAE (Computer-Aided Engineering) and simulation tools
• Ability to lead or contribute to NVH research and analysis for advanced engineering applications
• Prior research or industry experience in automotive, aerospace, or structural NVH is advantageous

Job Description

• Create and develop Class-A surfaces using tools like Autodesk Alias or ICEM Surf based on sketches, CAD data, and design inputs.
• Translate 2D sketches and conceptual ideas into production-ready 3D surfaces.
• Collaborate with design, engineering, and clay modeling teams to meet design intent and engineering constraints.
• Ensure surfacing deliverables meet aesthetic, functional, and manufacturing standards.
• Participate in design reviews, engineering feasibility studies, and iterative refinement sessions.
• Support digital and physical model reviews by providing updated surface models.
• Assist in rendering, presentation, and visualization assets preparation.
• Work efficiently in studio environments with tight deadlines and maintain high attention to form, proportion, and design quality.
• Excellent communication skills and ability to work across multidisciplinary teams.

Requirements

• 7–10 years of experience in selling products such as Bentley, Autodesk, Siemens, ESRI, or similar
• Proven ability to lead regional sales and achieve revenue targets
• Strong experience in customer relationship management and key account handling
• 2–3 years of experience managing and directing a sales team
• Experience in AEC or Manufacturing industry domains
• Skilled in planning and executing strategic sales initiatives
• Ability to identify and pursue new customers and markets
• Excellent communication, presentation, and team leadership skills

Requirements

• Proven experience leading AI/ML teams and managing AI/ML projects end-to-end with timely delivery and quality outcomes.
• Strong expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and programming languages such as Python or R.
• Demonstrated ability to define technical vision, set team objectives, and mentor AI/ML engineers and data scientists.
• Skilled in project management, including scoping, resource allocation, timeline management, and stakeholder coordination.
• Experience in model selection, training, evaluation, and optimization for scalable AI/ML solutions.
• Knowledge of data collection, preprocessing, feature engineering, and ensuring data quality and compliance.
• Ability to collaborate effectively with cross-functional teams including software and data engineers, and domain experts.
• Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI/ML solutions is a plus.
• Strong communication skills to convey complex technical concepts clearly to diverse stakeholders.

Requirements

• Develop prototypes and software solutions in Computational Geometry for CAD, BIM, and CAE domains.
• Gather and document requirements from stakeholders.
• Design software products and develop application code using C++ and Python.
• Participate in research related to Computational Geometry and Image Processing.
• Support integration and system-level testing of applications.
• Port applications across platforms including Linux, Mac, and Mobile.
• Ensure UI/UX designs are technically feasible.
• Build reusable libraries and code modules for future use.
• Strong programming skills in C++14/17/20, Python, C#, or Java.
• Solid understanding of linear algebra, calculus, data structures, and algorithms.
• Familiarity with software design principles (SOLID), version control (GIT/SVN), unit testing (Google Test), build systems, and UI frameworks (QT/MFC).
• Experience with CAD/CAM/BIM packages such as SolidWorks, NX, CATIA, or Revit.
• Knowledge of CAD Kernels like ACIS or Parasolid is a plus.
• Web programming experience is an added advantage.
• Good communication skills.

Requirements

• Develop and maintain responsive web applications using React for frontend development.
• Design and implement scalable backend systems using Node.js and microservices architecture.
• Integrate and manage databases such as MySQL and MongoDB.
• Utilize Keycloak for secure authentication and authorization.
• Collaborate with teams to gather requirements and deliver custom solutions.
• Implement messaging and queuing with RabbitMQ to ensure smooth microservices communication.
• Optimize application performance and troubleshoot technical issues.
• Maintain code standards and document development workflows.
• Stay updated on the latest web development, microservices, and related technologies.
• Experience with cloud platforms (AWS, Azure, Google Cloud), DevOps practices, CI/CD, and Git.
• Familiarity with RESTful APIs, containerization (Docker, Kubernetes), and security protocols like OAuth and JWT.

Role Summary

We are looking for Condition Monitoring Analysts to analyse equipment and condition monitoring data, identify potential issues, and provide actionable recommendations to Dealer and customer-facing teams.

Key Responsibilities

• Analyse S·O·S, inspection, electronic, site and equipment-history data to assess equipment condition.
• Provide data-driven equipment and operational recommendations to Dealer representatives.
• Collaborate with Condition Monitoring teams, S·O·S Interpreters and Dealer representatives.
• Use MS Excel, Access and enterprise tools for data analysis and tracking.
• Support condition monitoring lead tracking, issue resolution and follow-ups.
• Prepare technical reports, findings and recommendations.
• Communicate technical findings clearly to internal and customer-facing stakeholders.
• Apply field troubleshooting knowledge to support equipment-related investigations.

Required Skills

• Strong analytical and problem-solving skills.
• Proficiency in MS Excel, MS Office and enterprise tools.
• Understanding of machinery, automotive or construction equipment.
• Strong communication and presentation skills.
• Ability to interpret technical data and convert insights into actionable recommendations.

Preferred Experience

• Experience in Condition Monitoring, Service Engineering, Equipment Monitoring or Predictive Maintenance.
• Field/troubleshooting experience in Machine, Automobile or Construction industries.
• Exposure to OEMs/dealers such as JCB, Cummins, Komatsu, SANY, XCMG, Schwing Stetter, Kobelco, Epiroc, Sandvik, Kubota, GMMCO or Gainwell will be an advantage.

Qualifications

• Diploma / B.E. / B.Tech. in Mechanical, Automobile, Aerospace, Industrial Production or related engineering disciplines.