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Location:

Remote in Canada

About The Job You’re Considering

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.

Your role

- 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.

Your Skills And Experience

- 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)

The base compensation range for this role in the posted location is: CAD72,056- CAD138,940/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws.



The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

- 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

Significant Notice: Compensation (including bonuses, commissions, or other forms of ince

📌 KubernetesS) / HPC Engineer (Toronto)
🏢 Capgemini Engineering
📍 Toronto