WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. Were a fully distributed team with employees across North American time zones. Were wellfunded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fastgrowing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others.
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 smoothlyhandling 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 dowhether its designing scalable systems, improving observability, or leading incident response. If youre motivated by complex systems, passionate about uptime and performance, and excited to make reliability a firstclass concernthis role offers the opportunity to make a lasting impact.
Were 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, youll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you:
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. For candidates outside the US, including Canada, compensation is adjusted based on local market benchmarks.
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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