The opportunity
The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production.
What you'll do
Design and build continuous deployment infrastructure that safely rolls out: changes across dozens of Kubernetes clusters and global regions.
Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback.
Improve engineering velocity by reducing friction in the release pipeline and: automating manual operational workflows.
Work with product and infrastructure teams to ensure their services are: deployable, observable, and resilient at scale.
Implement and evolve deployment methodologies such as GitOps,: infrastructure-as-code, and progressive delivery patterns.
Build systems that automatically evaluate deployment health using metrics,: logs, traces, and alerts to detect regressions and trigger safe rollbacks.
What they're looking for
- Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.
- Kubernetes for large-scale container orchestration and runtime infrastructure
- Python and FastAPI for internal services
- Terraform for infrastructure as code
