> Markdown version of [/jobs/ext/4613203-software-engineer-observability](https://www.wearedevelopers.com/jobs/ext/4613203-software-engineer-observability). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Observability - **Company:** OpenAI Inc. - **Location:** Mountain View, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Debugging, Distributed Systems, OpenAI, Prometheus, Data Logging, Time Series Databases, Backend, Kubernetes - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_afc33344868af43d609c367d718ef4a0 ## About the Role * Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) * Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. * Have full-stack chops or product sensibilities-you're excited to build real tools people use. * Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). * Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). ## Description We're building the observability product for OpenAI-from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top-think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We're hiring software engineers across the stack-infra, backend, and product. You'll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You'll Do * Own core observability infrastructure, including distributed logging, time series, and trace storage * Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. * Contribute to UI experiences like dashboards, notebooking, or interactive debugging * Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product