Cloud Computing (Kubernetes/Terraform)

Seeking a highly experienced Senior Infrastructure Engineer to support large-scale Kubernetes and high-performance computing (HPC) environments across multiple cloud providers.

This role is heavily focused on the operation and scalability of Kubernetes infrastructure supporting GPU-intensive AI/ML workloads. The ideal candidate has deep hands-on Kubernetes experience in large production environments and is comfortable working across cloud infrastructure, Terraform, CI/CD, observability, and automation.

Responsibilities:

• Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale across providers. 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, GCP, 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. 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.