WorkOS
Infrastructure Engineer - SRE
United States & Canada
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About the role
- 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, Sierra, 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?
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
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
- Unlimited token usage!
Benefits
- 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
- Commuter benefits for hybrid employees in SF/NYC
Company info
- 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.
- We offer healthcare coverage for you and your family, including medical, dental, and vision.
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.
- WorkOS is an equal opportunity employer, committed to diversity and inclusiveness.
This listing is sourced directly from WorkOS's careers page and normalized into a canonical job model.