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.

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 who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff engineers, you’ll primarily operate the current setup, bring up new capacity in high-stakes environments and help bring new continuous delivery pipelines into production use.

If you thrive in high-ownership SRE roles at scale and want to help shape a team from the ground up in cutting-edge AI Inference infrastructure, this is your chance.

This role does not require 24/7 on-call rotations.

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

Location

SF Bay Area

Toronto

Site Reliability Engineer - Ops & Automation