Site Reliability Engineer at WorkOS | Torre

Site Reliability Engineer

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Compensation
USD175k - 275k/year
location_on
Remote (for United States residents)
Remote (for Canada residents)
Match
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences
Shared by
Emma of Torre.ai
2 days ago

Requirements and responsibilities


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, Vercel, 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 TeamThe 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 forWe’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 environmentsAre curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modesCare deeply about uptime, observability, and performance, and see reliability as a product featureThink through architectural trade-offs with reliability, simplicity, and maintainability in mindTake initiative, work independently, and follow through—from identifying reliability risks to driving improvementsCollaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviewsResponsibilities ✔️Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOSCollaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failureDefine and measure SLIs/SLOs to guide reliability improvementsWrite and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradationImprove our incident response process, lead postmortems, and drive follow-through on reliability risksDevelop internal tools and automations that make it easier to operate and scale our systemsParticipate in our on-call rotation—responding to, resolving, and learning from production incidentsContribute to design and architecture discussions with a focus on operability and long-term sustainabilityDocument systems, share learnings, and help grow a reliability-minded engineering cultureQualifications 🌟Experience operating and scaling production systems in cloud environments (we use AWS)Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysisComfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling)Strong debugging and systems thinking skills—you can follow problems across services and layersAbility to work independently, take ownership, and drive projects from problem discovery through resolutionNice to haveFamiliarity with Kubernetes or similar orchestration systemsExposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry)Exposure to TypeScript or interest in working in a TypeScript-based codebaseBenefits 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.Benefits include:Competitive paySubstantial equity grantsHealthcare insurance (Medical, Dental and Vision) for you and your family401k matchingWellness and fitness monthly allowancesPTO + paid holidays + unlimited sick leaveUnlimited token usagePlease inquire directly with our recruiting team for benefits available to those working outside the US.Equal Opportunity EmployerWorkOS 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.