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.
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:
You might thrive in this role if you:
Some of the technologies you'll be working with include Apache Spark, Clickhouse, Python, Terraform, Kafka, Azure EventHub, Vector DBs.
OpenAI is committed to providing reasonable accommodations to applicants with disabilities. 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.