Build and operate storage infrastructure powering OpenAI's research and production, including object stores, cross-region data movement, lifecycle management, and federation layers on Kubernetes using Rust.
230k – 385k/yr
HybridBackend Engineering
About the role
Responsibilities
Build and operate storage services that underpin OpenAI’s research infrastructure
Develop object storage systems across cloud and in-house environments
Build systems for cross-region data movement, replication, and recovery
Design lifecycle management capabilities that keep data durable, available, and cost-effective
Evolve the federation layer that unifies multiple backend systems behind a simple interface
Improve performance, reliability, and operational excellence across the platform
Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads
Requirements
Experience building or operating distributed systems in production
Worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems
Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements
Write strong production code, ideally in Rust or another systems-oriented language
Comfortable working with Kubernetes-based systems
Experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling
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