Senior HPC DevOps Engineer

Responsibilities

• Guide scientists and data teams in navigating and utilizing the platform user interface (UI) effectively, helping them run self-service workloads without direct infrastructure friction
• Advise users and manage infrastructure capacity regarding capacity blocks versus on-demand usage, optimizing cost, quotas, and resource availability for heavy workloads
• Maintain automated pipelines for infrastructure provisioning and platform service deployments
• Resolve technical queries regarding job scheduling failures, cluster bottlenecks, and resource quotas
• Collaborate with developer experience teams to improve documentation
• Collaborate with engineering teams to monitor GPU utilization via tools such as CloudWatch or Prometheus
• Manage AWS GPU instance families and allocate block compute for large-scale ML training and inference pipelines
• Ensure compute availability through capacity planning and reservation management
• Deploy containerized environments tuned for HPC and GPU pass-through
• Deploy and scale HPC workloads on cloud infrastructure utilizing parallel storage and networking solutions

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