About the Team
ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change.
The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale.
We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new.
About the Role
We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences.
This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows.
Where You Can Have Impact
- You might work on one or more of the following areas (without being restricted to any single area):
- Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution.
- Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases.
- Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression controls.
- Developer productivity via golden paths: Paved roads for common workflows (data access patterns, service integration, request lifecycle) that are fast, safe, and easy to use.
- Observability & debugging systems: Instrumentation, metrics models, and investigative tooling that turn vague symptoms (“it’s slow”) into precise, actionable diagnoses.
- Safe change management: Deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies.
- Interface and contract design across boundaries: Clean APIs and stable contracts that reduce coupling and enable independent evolution across a complex ecosystem.
What You’ll Do
- Build and evolve infrastructure platforms used by many engineers and services.
- Translate real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.
- Drive improvements in reliability and performance through principled design, measurement, and iterative hardening.
- Partner with engineering and product teams to identify systemic pain points and develop reusable solutions.
- Own outcomes end-to-end: design → implementation → rollout → operational maturity.
Qualifications
Minimum Qualifications
- Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling).
- Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management.
- Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate analysis into concrete engineering work.
- Track record of building platforms or shared infrastructure that improves velocity and correctness for other teams.
- Excellent communication and collaboration skills—aligning on interfaces, navigating tradeoffs, and driving cross-team execution.
Preferred Qualifications
- Experience designing paved roads / golden paths (frameworks, libraries, self-serve tooling) that shape engineering behavior at scale.
- Deep understanding of reliability techniques: graceful degradation, circuit breakers, load shedding, rate limiting, and fault isolation.
- Experience building systems for safe iteration: progressive delivery, correctness checks, automated rollout gates, and production validation.
- Strong instincts for API and contract design—how to create interfaces that are stable, evolvable, and hard to misuse.
- Prior work that demonstrates “force multiplier” impact: enabling many teams via a small set of well-crafted primitives.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-