platform engineer for HPC clusters

No description

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

• 5+ Years of experience in infrastructure engineering, cloud platforms, or HPC;
• Expertise in Kubernetes, including hands-on experience operating clusters at meaningful scale, node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across large fleets;
• Proficiency in Terraform for writing and reviewing infrastructure-as-code daily;
• Working knowledge of AWS (EC2, S3, EFS, FSx for Lustre);
• Skills in Python for tooling and automation;
• English proficiency at B2 level or higher;
• Nice to have: Familiarity with Google Kubernetes Engine, familiarity with Amazon Elastic Kubernetes Service, knowledge of Google Cloud Platform.

• No conditions specified