Kubernetes Engineer, HPC

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

📋 Description

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

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

• Enhance and maintain NVIDIA GPU frameworks for machine learning, data processing, and simulation tasks.

• Execute infrastructure automation, CI/CD pipelines, and monitoring systems to boost platform reliability and operational efficiency.

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

• Diagnose and enhance cluster, network, storage, and application performance across distributed computing settings.

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

• Guarantee platform scalability, availability, security, and operational excellence.

⛳️ Requirements

• 5+ years of experience in Kubernetes, Cloud Infrastructure, Platform Engineering, DevOps, or similar domains.

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

• Strong practical experience with Kubernetes (K8S), Docker, Helm, and container orchestration technologies.

• Familiarity with Trainium or Inferentia is highly desirable.

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

• Proficiency with NVIDIA GPU infrastructure, GPU-enabled workloads, and performance enhancement.

• Strong Linux administration and troubleshooting capabilities.

• Proficient 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).

🏝️ 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.