Senior Site Reliability Engineer - HPC

What you'll be doing:

• Own SRE solutions end‑to‑end, from design and implementation to operation and continuous improvement, ensuring they integrate cleanly with HPC schedulers, storage, and network fabrics.

• Use IaC(Infrastructure‑as‑Code) and config management to standardize and automate provisioning everywhere.

• Deliver solutions in a globally distributed, multi‑cloud hybrid environment – On‑prem, AWS, GCP, and OCI.

• Design for failure with redundancy, failure domains, progressive delivery, and strict change control.

• Ensure the highest level of uptime and Quality of Service (QoS) for internal customers through operational excellence.

• Conduct capacity management and planning to meet ongoing operational needs.

• Detects performance issues and recommends solutions to maintain world‑class service quality.

• Collaborate with various teams in a fast‑paced environment to ensure seamless project completion.

• Participate in on-call, incident reviews, assist in root cause identification, and produce high-quality RCA reports.

What we need to see:

• B.S. degree in Computer Science or related technical field (or equivalent experience) with over 4 years in building and supporting critical services.

• Experience designing and supporting large‑scale multi-tenant Kubernetes clusters including diagnosing low-level performance and scaling issues in distributed systems.

• Proven experience building and debugging Kubernetes controllers using controller-runtime, with a deep understanding of cluster internals and performance bottlenecks across core components (API server, etcd, scheduler).

• Proficiency in modern CI/CD techniques, and Infrastructure as Code (IaC) for managing services.

• Proven track record designing large-scale infrastructure platforms for automated host lifecycle management, fleet reliability/auto-healing, E2E observability or data-driven operations (AIOps/ML-driven signals) that materially reduce manual intervention, Proficient in monitoring, metrics, container management, and log collection tools.

• 4+ years of coding/scripting experience in at least two high‑level programming languages such as Python, Go, Perl, or Ruby.

• Mentored other engineers and influenced technical direction through design reviews, architecture documents, and strong partnership with product and leadership, Creative problem solver with excellent debugging skills and strong communication and documentation abilities.

Ways to stand out from the crowd:

• Experience supporting large‑scale HPC clusters using Slurm or LSF clusters.

• Published technical write‑ups or talks (conference presentations, meetups, engineering blogs) that deep‑dive into real‑world reliability, observability, or large‑scale HPC/SRE problems and their solutions.

  • Maintainer or co‑maintainer responsibilities for an open source component used in production (plugins, operators, exporters, controllers, or SDKs) at large scale.