Kubernetes Engineer, HPC

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, and oversee Kubernetes-based computing platforms tailored for AI/ML and HPC workloads.

• Develop and sustain scalable HPC environments that utilize workload schedulers.

• Enhance and support NVIDIA GPU infrastructure for machine learning, data processing, and simulation tasks.

• Execute infrastructure automation, CI/CD pipelines, and monitoring solutions to elevate platform reliability and operational effectiveness.

• Manage containerized applications through Kubernetes, Docker, and Helm.

• Diagnose and enhance performance across clusters, networks, storage, and applications in distributed computing settings.

• Work in collaboration with engineering, research, and AI teams to facilitate high-performance computing and cloud-native solutions.

• Ensure the platform's scalability, availability, security, and operational excellence.

⛳️ Requirements

• Over 5 years of experience in Kubernetes, Cloud Infrastructure, Platform Engineering, DevOps, or related disciplines.

• At least 2 years of experience in supporting HPC or large-scale distributed computing environments.

• Strong practical knowledge of Kubernetes (K8S), Docker, Helm, and container orchestration technologies.

• Familiarity with Trainium or Inferentia is highly desirable.

• Experience in managing HPC clusters and workload schedulers, such as Slurm and/or Volcano.

• In-depth expertise with NVIDIA GPU infrastructure, GPU-enabled workloads, and performance optimization.

• Strong skills in Linux administration and troubleshooting.

• Proficiency in Python and/or Bash scripting for automation and operational management.

• Experience in implementing CI/CD pipelines, monitoring, logging, and infrastructure automation solutions.

• Practical experience with at least one major cloud platform, such as Azure AKS or Google Kubernetes Engine (GKE).

• Solid understanding of distributed systems, cloud-native architectures, scalability, and performance tuning.

• Exceptional analytical, problem-solving, and cross-functional collaboration abilities.

🏝️ 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.