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
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
Qualifications 🌟
Based in PST/PDT timezone
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 have
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
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
401k matching
Competitive Equity
Healthcare, dental and vision coverage
FSA, ST/LT Disability, Voluntary Life
Carrot fertility benefits
20 days paid vacation + 10 holidays + unlimited sick leave
12 weeks fully paid parental leave
Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
Commuter benefits for hybrid employees in SF/NYC
Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
