Site Reliability Engineer

WorkOS•San Francisco, CA

3d•Remote

About The Position

WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Vercel, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control—helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance.Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact.

Requirements

Experience operating and scaling production systems in cloud environments (we use AWS)
Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis
Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling)
Strong debugging and systems thinking skills—you can follow problems across services and layers
Ability to work independently, take ownership, and drive projects from problem discovery through resolution

Nice To Haves

Familiarity with Kubernetes or similar orchestration systems
Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)
Exposure to TypeScript or interest in working in a TypeScript-based codebase

Responsibilities

Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS
Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure
Define and measure SLIs/SLOs to guide reliability improvements
Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation
Improve our incident response process, lead postmortems, and drive follow-through on reliability risks
Develop internal tools and automations that make it easier to operate and scale our systems
Participate in our on-call rotation—responding to, resolving, and learning from production incidents
Contribute to design and architecture discussions with a focus on operability and long-term sustainability
Document systems, share learnings, and help grow a reliability-minded engineering culture