Lead HPC Kubernetes Engineer

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Description

We are seeking a Lead HPC Kubernetes Engineer to help our customer develop and manage several HPC clusters across AWS, CoreWeave, GCP, and other providers, spanning several thousand GPUs today and scaling to 10x in 2026 and beyond. This role is Kubernetes-heavy, operating multi-cloud platform infrastructure where misconfigurations or failed upgrades translate directly into thousands of lost GPU-hours, at a scale where novel failure modes are routine. Responsibilities Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers Take ownership of cluster lifecycle, node pool management, networking policy, and stability maintenance during rapid growth Provision HPC infrastructure through CI/CD systems across AWS, CoreWeave, GCP, and OCI, with additional providers to be added 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 systems Participate in severity escalation response and author post-incident reviews Coordinate daily with Networking, Storage, Security, and AI/ML platform teams Requirements 5+ years of experience in infrastructure engineering, cloud platforms, or HPC Expertise in Kubernetes, with hands-on experience operating clusters at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets Proficiency in Terraform for writing and reviewing infrastructure-as-code d

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