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). This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs.

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 profile

• 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.

Required skills

• Kubernetes
• Bazel
• Prometheus
• Grafana
• InfluxDB
• Python
• Go
• GitOps (Argo CD / Flux)