Software Engineer, Infrastructure Reliability
About the Team We’re hiring Software Engineers to join our Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and vel
What this role actually needs.
Software Engineer, Infrastructure Reliability at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team We’re hiring Software Engineers to join our Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and vel
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Design, build, and operate reliable and performant systems used across engineering.
- Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.
- Dig deep to resolve complex issues.
- Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.
- Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.
- Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead
- A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.
- Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.
- Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.
- Experience with containerization technologies and container orchestration platforms like Kubernetes.
- Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, infrastructure reliability is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $255K - $385K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Search intent signals for this listing
Helpful keyword hooks for serious tech searchers and future programmatic job pages.
Ready to move on this role?
This page keeps the application flow simple while giving you enough context to decide quickly and move.