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
Remote · Canada
Optimize and benchmark production LLM inference on AWS Trainium platforms, improving latency, throughput, cost, and scaling while validating correctness and comparing performance with GPU platforms. Expand model support, document implementation and benchmarking practices, and help customer engineers operate and tune the serving stack.
Hybrid · Calgary
Provide day-to-day functional support for GIS applications, resolving incidents and user requests while managing accounts, roles, and access permissions. Support upgrades and integrations, maintain documentation, guide users, and collaborate with business and technical teams to improve application performance and processes.
Remote · Calgary, Alberta, Canada
Provide day-to-day technical and functional support for petro-technical applications, maintain application availability and performance, and resolve user issues through incident, request, and problem management. Coordinate with internal teams and vendors on escalations, upgrades, licensing, documentation, testing, and operational improvements.
Remote · Canada
Design, deploy, and operate scalable AWS AI/ML infrastructure using Trainium, Inferentia, SageMaker, and EKS to support distributed training, inference, and deployment of large language models and generative AI applications. Optimize performance, resource use, cost, and reliability; build cloud-native solutions and collaborate with AI and data teams to improve model development and deployment pipelines.
Remote · Canada
Design, deploy, and operate scalable Kubernetes and HPC platforms for AI/ML, simulation, and other compute-intensive workloads across cloud and on-premises environments. Optimize GPU-enabled infrastructure and automate, monitor, troubleshoot, and secure platforms in collaboration with engineering, research, and AI teams.
Remote · Canada
Design, deploy, and operate scalable Kubernetes and HPC platforms for AI/ML, simulation, and other compute-intensive workloads across cloud and on-premises environments. Optimize GPU-enabled infrastructure and distributed systems, automate platform operations, and ensure reliability, performance, security, and availability in collaboration with engineering, research, and AI teams.
Remote · Canada
Design, deploy, and operate scalable AWS AI/ML infrastructure using Trainium, Inferentia, SageMaker, and EKS, supporting distributed training, inference, and deployment for LLMs and generative AI. Optimize performance, resource use, cost, and reliability; build cloud-native solutions and collaborate with AI engineers and data scientists on model pipelines.
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.
Remote · Toronto, Ontario, Canada
Install, configure, maintain, secure, and monitor Oracle databases across production and non-production environments, including backup, recovery, patching, upgrades, and migrations. Develop and optimize PL/SQL, tune database performance, troubleshoot operational issues, and support incident management and LIMS application operations.
Remote · Toronto, Ontario, Canada
Install, configure, maintain, monitor, and secure Oracle database environments, ensuring availability and performance across production and non-production systems. Develop and optimize PL/SQL, troubleshoot database and LIMS issues, and manage tuning, backups, recovery, patching, upgrades, migrations, and incident resolution.
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.
Hybrid · Montréal
Coordinate and integrate aircraft design activities and engineering changes across disciplines, work packages, and stakeholder teams, ensuring design consistency and alignment with program, manufacturing, certification, and airworthiness requirements. Track design schedules, maturity, deliverables, interfaces, and risks, and contribute to governance reviews and continuous improvement.
Remote · Canada
Design, develop, and optimize scalable batch and near-real-time data processing applications and ETL pipelines using Apache, SQL, Python, and Scala. Collaborate across engineering, data science, and product teams to deliver reliable, secure, high-quality data solutions, with automated testing, monitoring, and deployment.
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.
Hybrid · Mirabel
Gather and document business requirements, analyze processes, facilitate stakeholder discussions, and recommend future-state solutions. Support project delivery through coordination, governance, risk and issue management, testing, impact assessments, and improvements to document management practices.
Hybrid · Montréal
Gather and document business requirements, facilitate stakeholder discussions, analyze processes, and recommend future-state solutions that meet organizational objectives. Support project delivery through coordination, risk and issue management, reporting, testing, impact assessment, and improvements to document management practices.
Hybrid · Montréal
Define and lead end-to-end PLM solution architecture and delivery, including data models, lifecycle strategies, integrations, governance, and platform configuration. Coordinate project scope, resources, and daily work while guiding and mentoring technical teams and ensuring quality, interoperability, and alignment with business and engineering goals.
Hybrid · Montréal
Assess PLM capabilities and business processes, gather stakeholder requirements, and design optimized future-state solutions. Coordinate with engineering and IT teams to support implementation, testing, deployment readiness, user training, adoption, and continuous improvement.
