Primary record

Software Engineer, Core Services

OpenAI Indexed employerSan Francisco
Source-hosted applyChecked 3h ago$230K–$385K/yrFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Jul 18, 2025

Closes

No date supplied

The role

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. 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 shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. - Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. - Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: - Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). - Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. - Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. - Excel at communication and collaboration with cross-functional teams, a

Requirements

Department: Applied AI; Team: Applied AI Infrastructure