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Lead Platform Engineer - HPC, Kubernetes

Remote in Latvia, Republic of Lithuania
Platform Engineering& 16 others
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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