Kubernetes Engineer, HPC

Job not on LinkedIn

🔥 36 minutes ago

🇨🇦 Canada – Remote

💵 $72.1k - $138.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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)

🏖️ Benefits

• Paid time off based on employee grade (A-F): 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., RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility • Additional compensation such as variable incentives, bonuses, or commissions may be available depending on the position and applicable laws