The ad says“Experience operating and scaling production systems in cloud environments (we use AWS)”
Values
The ad says“Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)”
The ad says“Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)”
The ad says“Familiarity with Kubernetes or similar orchestration systems”
The ad says“Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)”
The ad says“Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)”
The ad says“Exposure to TypeScript or interest in working in a TypeScript-based codebase”
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
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
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
Benefits
WorkOS pays 90% of premiums for employees and dependents to help keep your family healthy
WorkOS provides a 3% match of your 401k contributions to help you save for retirement
Relax and recharge with 20 days of paid yearly vacation. We also offer 12 weeks of parental leave for new parents
Monthly stipend for gyms, yoga classes, race registrations, or whatever keeps you active
Monthly stipend for a massage, meditation class, therapy, or activities that enhance your mental well-being
Outfit your working space with a stipend for equipment that will keep you comfortable and productive
Preferred experience
Experience operating and scaling production systems in cloud environments (we use AWS)
Ability to work independently, take ownership, and drive projects from problem discovery through resolution
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
Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis
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
