Software Engineer, Caching Infrastructure
OpenAI · San Francisco · $230k – $385k
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Discovery score 57/100, built only from evidence stored with this listing.
- New official employer listing
- Salary disclosed
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- Recency (moves as the posting ages)+18
- Official employer source+15
- Salary disclosed+15
- Rare role+1
- Company source health+8
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Job description
About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: • Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.
• Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.
• Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.
You Might Thrive In This Role If You: • Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.
• Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.
• Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.
• Think rigorously about latency, reliability, throughput,