Lead Platform Engineer - HPC, Kubernetes

We are looking for a Lead Platform Engineer to support a customer that develops and manages several HPC clusters across AWS, CoreWeave, GCP and other providers, operating several thousand GPUs today and scaling 10x. This role is Kubernetes-heavy and requires strong software engineering skills to operate multi-cloud platform infrastructure where misconfigurations or failed upgrades cost thousands of GPU-hours, and at this scale, new kinds of failure come up routinely. Responsibilities Operate Kubernetes platforms (EKS, CKS, GKE) at significant scale, including cluster lifecycle, node pool management, networking policy, and stability during rapid growth Provision HPC infrastructure through CI/CD across AWS, CoreWeave, GCP and OCI, with more providers coming Manage job scheduling to allocate GPU compute across training and inference workloads Define and maintain SLIs/SLOs Build monitoring and alerting systems Take part in incident response and write post-incident reviews Build tooling and automation in production-quality code Coordinate daily with the Networking, Storage, Security and AI/ML platform teams Requirements 5+ years of experience in infrastructure engineering, cloud platforms or HPC Expertise in Kubernetes at meaningful scale, including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets Proficiency in advanced Python with experience writing production-grade tools, not only scripts Familiarity with Go, Rust or C++ is a strong plus Proficiency in Terraform, writing and reviewing infrastructure as code daily Working knowledge of AWS, including EC2, S3, EFS and FSx for Lustre Background in Site Reliability Engineering English proficiency at B2 level or higher Nice to have Familiarity with Amazon Elastic Kubernetes Service, Google Kubernetes Engine and Google Cloud Platform Knowledge of High-performance computing (HPC), Slurm, Lustre and Amazon FSx Familiarity with Go, Rust and C++ Familiarity with CI/CD