Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Kubernetes @ 3
Terraform @ 3
Python @ 3
ArgoCD @ 3
Distributed Systems @ 3
FastAPI @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. The team owns the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.
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.
- Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.
Technologies commonly used
- Kubernetes for large-scale container orchestration and runtime infrastructure
- Python and FastAPI for internal services
- Terraform for infrastructure as code
- GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)
- Buildkite for CI orchestration
Requirements / Qualifications
- Experience working with Kubernetes-based deployment systems at scale.
- Experience building or operating continuous deployment platforms.
- Familiarity with GitOps tooling such as ArgoCD or Flux.
- Interest or experience in building AI-assisted systems and agents that shepherd software changes from commit to safe production rollout.
- Strong focus on safe production rollouts and minimizing blast radius.
- Experience building internal platforms that improve developer productivity across an organization.
Compensation
$230K – $490K + Offers Equity
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays and multiple paid coordinated company office closures throughout the year
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits such as charitable donation matching and wellness stipends
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diverse perspectives, and inclusion in building and deploying AI systems.