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Site Reliability Engineer
Site Reliability EngineerWorkOS • Denver, CO, US
Site Reliability Engineer

Site Reliability Engineer

WorkOS • Denver, CO, US
10 days ago
Job type
  • Full-time
Job description

Job Description

Job Description

About WorkOS \uD83D\uDE80

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

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 \uD83C\uDF1F

  • 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
  • The annual US base salary falls within the range of $175,000 to $250,000. This range does not encompass the full spectrum of benefits such as equity, health insurance, vacation time, and paid parental leave. This salary range covers multiple levels of engineering roles and final compensation will be determined considering various factors, including experience, skills, and qualifications.

    For candidates outside the US, including Canada, compensation is adjusted based on local market benchmarks.

    Benefits ( US Only) \uD83D\uDC96

    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.

    Benefits include :

  • Competitive pay
  • Substantial equity grants
  • Healthcare insurance (Medical, Dental and Vision) for you and your family
  • 401k matching
  • Wellness and fitness monthly allowances
  • PTO + paid holidays + unlimited sick leave
  • Autonomy and flexibility with remote work
  • 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.

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