Capgemini Engineering

System Administrator

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Review and confirm infrastructure setup to recommend and implement any optimizations for performance/scalability/cost savings (e.g. switch from monolithic to cluster, establishment of a load balancer and backup/recovery plan).
• Design, develop, and maintain a Windchill & ThingWorx Navigate image to be shared with Windchill Developers to support their daily work.
• Responsible for installing and performing upgrades of Windchill, applying critical patch sets, and fixing security vulnerabilities on a regular basis with all infrastructure and applications supporting Windchill.
• Responsible for performing rehosts to and data refreshes on non-production environments as needed.
• Conduct comprehensive testing, including unit, integration, and system testing ensuring application infrastructure and performance is maintained.
• Work with the larger Windchill production sustainment team to debug and resolve complex application/customization defects and issues that may require performance and infrastructure related investigations and solutions.
• Develop and maintain technical documentation for all environment infrastructure.
• Stay up to date with the latest Windchill developments and AWS industry best practices.

Windchill Infrastructure – System Administrator

QA Engineer

• Participate across the AI solution lifecycle from requirements and design through development, testing, and deployment
• Build and maintain systems that exercise agentic workflows against realistic scenarios, edge cases, and failure conditions
• Define contracts, validation, and explicit failure behavior at integration points
• Create shared libraries, reference harnesses, and validation utilities that teams can reuse
• Architect agentic systems so correctness, safety, and expected behavior are enforced by design
• Participate in solution design to identify likely failure patterns in agentic systems
• Define and implement cost-conscious evaluation strategies for AI-enabled systems
• Work with cross-functional program teams to translate customer and mission needs into criteria
• Communicate estimates, progress, and technical tradeoffs clearly to development leads and product owners

Senior AI Quality Engineer

Engineer

• Act as a trusted advisor to customer SMEs and the end-user community
• Lead solution architecture, development, and implementation efforts across PTC’s Windchill and ThingWorx platforms
• Design and develop custom Windchill solutions, including actions models, workflows, lifecycles, reports, and OIRs
• Support and optimize data migration projects using Windchill Bulk Migrator, Load From File Framework, and custom scripts
• Integrate Windchill with other enterprise systems and applications, ensuring seamless data flow
• Analyze and cleanse data to ensure consistency, accuracy, and alignment with business requirements
• Conduct comprehensive testing, including unit, integration, and system testing
• Debug and resolve complex application, customization, or data-related defects and issues
• Develop and maintain technical documentation for solutions, customizations, and data migration processes
• Provide training and support to end-users on Windchill and ThingWorx functionalities and evolving business processes
• Stay up to date with the latest Windchill developments, industry best practices, and DoD software policies
• Manage a small team of technical resources

Windchill Engineer

AI Engineer

• Build and deploy custom model context protocol (MCP) connectors for new and existing services
• Design and implement custom agentic workflows using cloud AI platforms
• Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems
• Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure
• Write high-quality code, applying best practices, coding standards, and design patterns for AI systems
• Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
• Participate in code reviews and ensure code quality through effective testing strategies and security validation
• Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors
• Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
• Ensure seamless integration with backend systems, cloud services, databases and messaging systems
• Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering

Senior AI Engineer

Data Analyst

• Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
• Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
• Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
• Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
• Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
• Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
• Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
• Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
• Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
• Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize identified software and follow business rules and processes.
• Identify areas to improve efficiency and accuracy and integrate those into modeling best practices.

Data Analyst IV

• Collaborate with engineers, logisticians and product managers to understand requirements, gather supporting information specifications and develop readiness based sparing model.
• Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
• Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
• Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.
• Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
• Ensure accuracy and completeness of all documentation.
• Foster effective collaboration with cross-functional teams to achieve project objectives.
• Communicate complex technical information clearly and effectively.
• Utilize identified software and follow business rules and processes.
• Identify areas to improve efficiency and accuracy and integrate those into modeling best practices

Data Analyst II

Program Manager

• Support overall program planning, execution, and control across the full program lifecycle.
• Drive execution of program objectives related to cost, schedule, performance, and risk.
• Coordinate cross-functional teams or subcontractors to ensure alignment with contract requirements and milestones.
• Support workforce planning and resource reallocation in response to schedule changes, contract modifications, or proposal efforts.
• Act as the Program Manager in their absence, including leading internal and customer-facing meetings.
• Develop, maintain, and analyze program schedules using Microsoft Project, including logic ties, critical path analysis, and schedule status updates.
• Monitor program financial performance, including EACs, ETCs, and cost/schedule variances.
• Identify, assess, and track program risks and opportunities; support mitigation planning and execution.
• Serve as a key point of contact with government customers and internal leadership.

Deputy Program Manager

Systems Engineer

• Lead the development, decomposition, and management of system, subsystem, and interface requirements in alignment with customer needs and program objectives.
• Collaborate with the engineering team to ensure requirements are traceable, verifiable, and aligned with mission performance.
• Participate in subsystem architecture trades to balance performance, cost, schedule, and risk.
• Review and approve technical approaches to ensure designs meet requirements and integrate cleanly at the system level.
• Provide technical oversight and direction to subcontractors and suppliers delivering hardware, software, and system elements.
• Review subcontractor designs, analyses, test plans, and test results for compliance with requirements and interfaces.
• Review and approve subcontractor technical artifacts, including requirements, designs, test plans, and deliverables.
• Serve as a technical interface between subcontractors, internal engineering teams, and government stakeholders.
• Actively participate in technical reviews, ensuring technical rigor and risk mitigation with subcontractors and customers.
• Mentor and develop junior and mid-level engineers, fostering strong systems engineering practices and technical growth.
• Promote consistency in systems engineering processes, tools, and best practices across programs.
• Foster a culture of continuous learning, technical curiosity, and accountability.
• Support proposal and capture efforts by contributing technical approaches, requirements understanding, and engineering cost estimates.
• Write technical content including white papers, technical sections of proposals, status reports, and internal documentation.
• Deliver effective internal and external technical briefings.
• Engage with customers and partners to understand technical needs and communicate SIE’s engineering capabilities.