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OpenAI is seeking an engineer to help build and operate a scalable storage platform powering research and production workloads. You will work on object stores, cross-region data movement, lifecycle management, and a federation layer that unifies multiple backends, with much of the stack running on Kubernetes and services written in Rust.
You will collaborate with researchers and infrastructure teams to support rapidly evolving workloads, improve reliability, and drive operational excellence
The Storage Infrastructure team builds and operates the storage foundation behind OpenAI's most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time. Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution.
You will help build the storage platform that powers OpenAI's research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production. You'll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust.