Role: HPC Kubernetes Consultant
Location: Remote
Job Type: Fulltime
The Work:
Work with an AWS customer managing large-scale HPC clusters across AWS, CoreWeave, GCP, and OCI.
Manage a multi-cloud Kubernetes platform supporting thousands of GPUs, with significant planned growth.
This is a Kubernetes-heavy role focused on operating large-scale infrastructure where cluster stability and upgrades directly impact GPU workloads.
Key Responsibilities:
Operate Kubernetes platforms including EKS, CKS, and GKE at scale.
Manage cluster lifecycle, node pools, networking policies, and cluster stability.
Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP, and OCI.
Manage job scheduling and allocation of GPU compute for training and inference workloads.
Define and maintain SLIs/SLOs, monitoring, and alerting.
Participate in severity escalation, incident response, and post-incident reviews.
Collaborate with Networking, Storage, Security, and AI/ML platform teams.
Required Skills:
4+ years of experience in infrastructure engineering, cloud platforms, or HPC.
Strong hands-on Kubernetes experience at meaningful scale — core requirement.
Experience with node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades.
Strong Terraform / Infrastructure-as-Code experience.
Working knowledge of AWS EC2, S3, EFS, and FSx for Lustre.
Strong Python skills for tooling and automation.
Environment:
Remote-first
Occasional onsite visits to customer offices.
Company laptop provided.
Core Skills:
Kubernetes | EKS/CKS/GKE | AWS | CoreWeave | GCP | Terraform | HPC | GPU Infrastructure | Python | CI/CD