[Hiring] Kubernetes / HPC Engineer @Capgemini

Role Description

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.

• 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.

Qualifications

• 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).

Requirements

• 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 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.
• 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.

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.