Capgemini Engineering is the engineering and R&D services powerhouse of the Capgemini Group.
Paris, Île-de-France
Capgemini Engineering is the engineering and R&D services powerhouse of the Capgemini Group, combining its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, Capgemini Engineering helps clients to accelerate their journey towards the Intelligent Industry with more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com
Hybrid · Mirabel
Ensure the quality, integrity, structure, and governance of product data across the organization's PLM ecosystem. Analyze product data, develop data quality processes, and enable reliable reporting and insights to support engineering, manufacturing, supply chain, quality, and digital transformation initiatives.
Hybrid · Toronto
Audit customer network environments, identify gaps, and recommend improvements; implement, support, troubleshoot, migrate, and optimize network solutions across enterprise and service-provider environments. Advise customers throughout assessment, design, and delivery, collaborate with cloud, security, application, and infrastructure teams, and maintain technical documentation and design artifacts.
Remote · Canada
Lead end-to-end migrations of media-processing services and build reliable event-driven pipelines for ingesting, processing, storing, and managing user- and listing-generated media. Own privacy and trust controls, third-party media integrations, operational reliability, and the evolution of supporting data models and APIs in collaboration with partner teams.
Remote · Canada
Lead and support migrations from Endevor and other software change management systems to DBB, Git, and IDD, including installation, configuration, application conversion, validation, and troubleshooting on customer z/OS systems. Train clients, prepare technical materials, document migration practices and resolutions, and collaborate with IBM teams and client stakeholders to deliver projects.
Remote · Canada
Build, operate, and modernize cloud-native infrastructure for large-scale machine learning workloads, including Kubernetes environments, batch scheduling, and CI/CD pipelines. Partner with engineering and data science teams to productionize ML solutions while improving reliability, observability, security, scalability, and operational performance.
Remote · Canada
Build, operate, and modernize cloud-native infrastructure for large-scale machine learning workloads, including Kubernetes platforms, batch scheduling, and CI/CD pipelines. Improve reliability, security, observability, and performance while partnering with engineering and data science teams to productionize machine learning solutions.
Hybrid · Montréal
The Data Analyst is responsible for ensuring the quality, integrity, and governance of product data across the organization's PLM ecosystem. This role supports engineering, manufacturing, supply chain, and digital transformation initiatives through data analysis and reporting.
Hybrid · Montréal
The PLM Data Analyst is responsible for ensuring the quality, integrity, and governance of product data across the organization's PLM ecosystem. They will develop data validation processes, maintain dashboards, and support integrations between PLM and enterprise systems like ERP and MES.
Remote · Canada, United States
Lead the design and integration of complex electrical power systems, including safety-related distribution and grid integration. Develop detailed engineering deliverables, procurement specifications, and ensure compliance with nuclear-specific regulatory standards.