High-Performance Cloud Computing

Responsibilities:

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers. You're responsible for cluster lifecycle, node pool management, networking policy, and maintaining stability during rapid growth.
• Provision HPC infrastructure through CI/CD system across AWS, CoreWeave, Google Cloud Platform, and OCI, with additional providers to be expanded in the near future.
• Manage job scheduling to allocate GPU compute across training and inference workloads.
• Define and maintain SLIs/SLOs. Build monitoring and alerting. Participate in severity escalation response and author post-incident reviews.
• Coordinate daily with Networking, Storage, Security, and AI/ML platform teams.

Requirements:

• 10+ years in infrastructure engineering, cloud platforms, or HPC.
• Kubernetes is the core requirement. You should have hands-on experience operating clusters at meaningful scale: node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets. Candidates whose K8s experience is limited to small or local environments are unlikely to be a fit.
• Terraform proficiency. You'll write and review infrastructure-as-code daily.
• Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre).
• Python for tooling and automation.

Weighting client is applying to score candidates -

• 4+ yrs Kubernetes at scale (CORE HPC experience nice to-have):
• Python (tooling & automation):
• Terraform:
• GPU / HPC job scheduling:
• Monitoring & incident response:
• AWS (EC2, S3, EFS, FSx):
• Multi-cloud K8s (Google Cloud Platform/CoreWeave):