Site Reliability Engineer, San Francisco, CA, United States

Site Reliability Engineer

New Today

Join to apply for the Site Reliability Engineer role at WorkOS

Get AI-powered advice on this job and more exclusive features.

About WorkOS
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

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)

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.

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Transportation, Logistics, Supply Chain and Storage

Referrals increase your chances of interviewing at WorkOS by 2x

Sign in to set job alerts for “Site Reliability Engineer” roles.

Site Reliability Engineer — GPU Infrastructure

San Francisco, CA $120,000.00-$190,000.00 1 month ago

San Francisco, CA $100,000.00-$200,000.00 1 month ago

San Francisco, CA $184,000.00-$229,000.00 3 weeks ago

San Francisco, CA $90,000.00-$110,000.00 4 months ago

San Francisco, CA $140,250.00-$190,000.00 1 month ago

Software Engineer, Python - AI Training (Freelance, Remote)

Software Engineer - AI Training (Freelance, Remote)

San Francisco, CA $180,000.00-$200,000.00 5 months ago

Engineer, DevOps Infrastructure as Code (IaC) - AI Training (Freelance, Remote)

San Francisco, CA $130,000.00-$165,000.00 1 month ago

San Francisco, CA $107,600.00-$134,500.00 6 days ago

Senior Site Reliability Engineer , Performance

San Francisco, CA $146,700.00-$214,800.00 2 weeks ago

Software Engineer, LPC - AI Training (Freelance, Remote)

Software Engineer, HTML - AI Training (Freelance, Remote)

San Francisco, CA $160,000.00-$240,000.00 1 month ago

Software Engineer, Terraform - AI Training (Freelance, Remote)

San Francisco, CA $200,000.00-$250,000.00 2 weeks ago

San Francisco, CA $110,000.00-$230,000.00 2 days ago

Principal Site Reliability Engineer, Federal

Lead Site Reliability Engineer, Observability - Remote

San Francisco, CA $148,100.00-$235,800.00 2 weeks ago

Software Engineer, Node.js - AI Training (Freelance, Remote)

Emeryville, CA $170,000.00-$270,000.00 18 hours ago

San Francisco, CA $150,000.00-$190,000.00 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Apply

Location:: San Francisco, CA, United States
Salary:: $250,000 +
Job Type:: FullTime
Category:: Engineering