Kubernetes Engineer, HPC

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $76.7k - $150.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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👻 Ghost score 2%

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

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

🏖️ Benefits

• Vacation: 12-25 days, depending on grade • Company paid holidays • Personal Days • Sick Leave • Medical, dental, and vision coverage • Retirement savings plans (e.g., 401(k) in the U.S.) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility • Potential eligibility for variable incentives, bonuses, or commissions