Software Engineer, Delivery / CD
About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes
What this role actually needs.
About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes Responsibilities: - 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Delivery / CD role.
- 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.
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Source: jobs.ashbyhq.com · Source ID: e14fc37c-7ae5-4a6b-ba0d-a36860cf9bb2 · Confidence: 97/100 · Last checked: May 7, 2026
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