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OpenAI

Software Engineer, Observability

San Francisco$255k–$405kfulltimemidAdded 1 month ago

About this role

OpenAI is seeking a Software Engineer to build observability infrastructure and AI-powered tools that help engineers monitor and debug production systems at massive scale. You'll work across the full stack—from distributed logging and time series databases to intelligent dashboards and debugging interfaces—in a small team focused on making OpenAI's systems reliable and observable.

What you'll do

  • Design and maintain large-scale observability infrastructure including distributed logging, time series, and trace storage systems
  • Develop AI-native tools that enable engineers to autonomously detect, understand, and resolve production issues
  • Build user-facing experiences such as dashboards, notebook interfaces, and interactive debugging tools
  • Collaborate across engineering, research, and product teams to shape the next generation of observability capabilities
  • Operate and scale systems handling petabytes of logs and billions of metrics across OpenAI's fleet

What they're looking for

  • Large-scale distributed systems design and operation
  • Logging systems and time series database expertise
  • Full-stack development (backend, infrastructure, and UI)
  • Systems, networking, and cloud infrastructure fundamentals
  • Kubernetes and cloud platforms (AWS or equivalent)
  • Observability tools experience (Prometheus, OpenTelemetry, etc.)
  • Ability to work in ambiguous, unscoped environments
  • Product thinking and user-focused engineering
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI