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About the Role

As a Kubernetes (K8S) / HPC Engineer, you will be responsible for designing, deploying, and supporting scalable Kubernetes and High-Performance Computing (HPC) platforms that power AI/ML, simulation, and other compute-intensive workloads. You will work closely with platform engineering, data science, and research teams to deliver reliable, high-performance infrastructure across cloud and on-premises environments.

Responsibilities

Design, deploy, and manage Kubernetes-based compute platforms for AI/ML and HPC workloads.
Build and maintain scalable HPC environments utilizing workload schedulers.
Support and optimize NVIDIA GPU infrastructure for machine learning, data processing, and simulation workloads.
Implement infrastructure automation, CI/CD pipelines, and monitoring solutions to improve platform reliability and operational efficiency.
Manage containerized applications using Kubernetes, Docker, and Helm.
Troubleshoot and optimize cluster, network, storage, and application performance across distributed computing environments.
Collaborate with engineering, research, and AI teams to enable high-performance computing and cloud-native solutions.
Ensure platform scalability, availability, security, and operational excellence.

Requirements

5+ years of experience in Kubernetes, Cloud Infrastructure, Platform Engineering, DevOps, or related fields.
Minimum 2+ years of experience supporting HPC or large-scale distributed compute environments.
Strong hands-on experience with Kubernetes (K8S), Docker, Helm, and container orchestration technologies.
Exposure to Trainium or Inferentia is highly preferred.
Experience managing HPC clusters and workload schedulers, including Slurm and/or Volcano.
Expertise with NVIDIA GPU infrastructure, GPU-enabled workloads, and performance optimization.
Strong Linux administration and troubleshooting skills.
Proficiency in Python and/or Bash scripting for automation and operational management.
Experience implementing CI/CD pipelines, monitoring, logging, and infrastructure automation solutions.
Hands-on experience with at least one major cloud platform, Azure AKS and Google Kubernetes Engine (GKE).

Location

Remote in Canada

Work Type

Remote

Experience Level

5+ years of experience in Kubernetes, Cloud Infrastructure, Platform Engineering, DevOps, or related fields.
Minimum 2+ years of experience supporting HPC or large-scale distributed compute environments.

Salary/Compensations

CAD72,056- CAD138,940/year

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

About the Company

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential.
From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
It is a responsible and diverse group of 340,000 team members in more than 50 countries.
With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.
We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment.
All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position.
Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed.
Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process.
If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law