HPC Kubernetes Engineer | 100 US Remote

This role is Kubernetes-heavy. Youll operate multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours. The clusters are large enough that Client failure modes are routine.

Responsibilities

• Operate Kubernetes platforms (EKS CKS GKE) at significant scale across providers. Youre 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 Eligible to workP 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

• 4 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. Youll write and review infrastructure-as-code daily.
• Working knowledge of AWS (EC2 S3 EFS FSx for Lustre).
• Python for tooling and automation.

Mandatory Skills: App-Cloud-Kubernetes .

Experience: > 10 YEARS .