Kubernetes (K8S) / HPC Engineer

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.

• 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)Strong understanding of distributed systems, cloud-native architectures, scalability, and performance tuning.
• Excellent analytical, problem-solving, and cross-functional collaboration skills.

The base compensation range for this role in the posted location is $76,730 to $150,800

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

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. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same., 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.