Site Reliability Engineer - Ops & Automation

About the role

We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI.

Key Responsibilities

• Remain hands-on with operational execution (releases, capacity changes, cluster upgrades) over the next year as we build robust continuous delivery pipelines and self-service capabilities
• Contribute to the development of self-service CD pipelines for key workflows using our stack: Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go
• Build reusable automation and internal developer tools that minimize operational toil and cross-team friction
• Develop and extend telemetry, observability and alerting solutions to ensure operational reliability at scale
• Collaborate with Cluster Ops and development teams to identify high-impact automation opportunities and iterate quickly
• Contribute to reliability practices (SLOs, post-mortems, capacity planning)

Required Experience & Skills

• 2-4+ years in SRE with a strong operations or automation focus
• Production Kubernetes experience
• Solid Python or Go for building tools and automation
• Proficiency with Prometheus, Grafana, and observability-driven workflows
• Ability to measure and communicate impact – reliability metrics, operational toil, velocity gains

Nice-to-Have

• Hands-on GitOps expertise, Argo CD / Flux or equivalent, is a plus
• Experience with building continuous delivery pipelines is a strong plus
• Experience with Bazel or similar build systems is a strong plus
• Familiarity with capacity planning, on-prem or multi-datacenter environments