1 day ago
Base Salary
$77k - $151k/yr
Responsibilities
- Design, deploy, and manage Kubernetes-based compute platforms for AI/ML and HPC workloads.
- Build and maintain scalable HPC environments using workload schedulers.
- Support and optimize NVIDIA GPU infrastructure for machine learning, data processing, and simulation workloads.
- Implement infrastructure automation, CI/CD pipelines, monitoring, and logging solutions.
- 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, data science, and AI teams to enable high-performance and cloud-native solutions.
- Ensure platform scalability, availability, security, and operational excellence.
Requirements
- At least 5 years of experience in Kubernetes, cloud infrastructure, platform engineering, DevOps, or related fields.
- At least 2 years of experience supporting HPC or large-scale distributed compute environments.
- Hands-on experience with Kubernetes, Docker, Helm, and container orchestration technologies.
- 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, including Azure AKS or 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.
- Exposure to Trainium or Inferentia is highly preferred.
Benefits
- Remote work in the USA.
- Base compensation range of $76,730 to $150,800, with potential additional variable incentives, bonuses, or commissions depending on the position and applicable laws.
- Paid time off, including vacation, company holidays, personal days, and sick leave, based on employee grade and policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Additional benefits may be available under local policy and eligibility for regular, full-time employees.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.