Data Infrastructure Engineer

About the Team You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, alignment teams that are core to the work we do at OpenAI. The systems we support include our data warehouse, batch compute infrastructure, streaming infrastructure, data orchestration system, data lake, vector databases, critical integrations, and more. About the Role The Applied Data Platform team designs, builds, and operates the foundational data infrastructure that enables products and teams at OpenAI. You are comfortable with work such as scaling Kubernetes services, OLAP systems, debugging Kafka consumer lag, diagnosing distributed kv store failures, designing a system to retrieve image vectors with low latency. You are well versed with infrastructure tooling such as Terraform, worked with Kubernetes, and have the SRE skill sets. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale reliably to the next several orders of magnitude Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems, providing a best in case experience Bring new features and capabilities to the world by partnering with product engineers, trust & safety and other teams to build the technical foundations Like all other teams, we are responsible for the reliability of the systems we build. This includes an on‑call rotation to respond to critical incidents as needed You might thrive in this role if you: Have 4+ years in data infrastructure engineering OR Have 4+ years in infrastructure engineering with a strong interest in data Take pride in building and operating scalable, reliable, secure systems Are comfortable with ambiguity and rapid change Have a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others Some of the technologies you’ll be working with include Apache Spark, Clickhouse, Python, Terraform, Kafka, Azure EventHub, Vector DBs. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy Compensation $200K – $385K The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to the salary range listed above, total compensation also includes generous equity and benefits. Medical, dental, and vision insurance for you and your family Mental health and wellness support 401(k) plan with 50% matching Unlimited time off and 13 company holidays per year Paid parental leave (20 weeks) and family-planning support Annual learning & development stipend ($1,500 per year) #J-18808-Ljbffr