Site Reliability Engineer

WorkOS•Los Angeles, NY

20d•$175,000 - $250,000•Remote

About The Position

About WorkOS 🚀 WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We’re a fully distributed team with employees across North American time zones. We’re well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others About the Site Reliability Engineering Team 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. Who we’re looking for We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you: - Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments - Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes - Care deeply about uptime, observability, and performance, and see reliability as a product feature - Think through architectural trade-offs with reliability, simplicity, and maintainability in mind - Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements - Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews

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