Infrastructure Engineer - SRE [Remote]

About WorkOS

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, 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? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.

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

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.