Senior Kubernetes / HPC Infrastructure Engineer
Location: Remote
Experience: 10+ years overall; 4+ years Kubernetes at scale
Bill Rate: DOE
Interview Process: Technical interview, client coding test, and rigorous client interview.
Job Description
We are seeking a Senior Kubernetes / HPC Infrastructure Engineer with strong hands-on experience managing large-scale Kubernetes clusters, cloud infrastructure, and GPU workloads across multi-cloud environments.
Key Responsibilities:
• Manage large-scale Kubernetes clusters, node pools, networking, upgrades, and troubleshooting.
• Provision HPC infrastructure through CI/CD pipelines across AWS, Google Cloud Platform, CoreWeave, and OCI.
• Manage GPU scheduling for AI/ML training and inference workloads.
• Develop infrastructure using Terraform and Python automation.
• Maintain monitoring, alerting, SLIs/SLOs, and incident response processes.
• Collaborate with Networking, Storage, Security, and AI/ML teams.
Required Skills:
• 10+ years in infrastructure engineering, cloud platforms, or HPC.
• 4+ years of hands-on Kubernetes experience at scale.
• Strong Terraform and Python skills.
• AWS experience with EC2, S3, EFS, and FSx for Lustre.
• Experience with monitoring, incident management, and production troubleshooting.
• GPU/HPC scheduling and multi-cloud Kubernetes experience are highly preferred.