Lead architecture and evolution of the Agent Harness Bridge at OpenAI, owning integrations between Codex harness, research infrastructure, and agent systems to enable reliable large-scale training of frontier models. Requires strong backend/infra experience, API and systems design expertise, and cross-functional leadership.
347k – 490k
On-site7+ YOEBackend Engineering
About the role
Responsibilities
Design, build, and evolve the bridge between the Codex harness and research training infrastructure.
Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance.
Build reliable, containerized execution systems that can support demanding training workloads at scale.
Partner closely with research, agent, infrastructure, and platform teams to support new training use cases and harness capabilities.
Design clean, stable interfaces and workflows for highly technical internal users who move quickly and expect strong ergonomics.
Prevent one-off workarounds from becoming long-term technical debt by establishing durable abstractions and clear ownership.
Raise the bar for correctness, reliability, operational rigor, and engineering judgment across a critical research-facing system.
Requirements
Significant experience building and scaling backend or infrastructure systems in fast-moving environments.
Deep strength in API design, systems design, and engineering fundamentals.
Highly detail-oriented with deep care for correctness, reliability, and operational quality.
Ability to work directly with demanding technical users while maintaining strong engineering discipline.
Track record of leading cross-functional technical efforts and creating clarity across organizational boundaries.
Strong product sense and user empathy for internal platforms and developer tooling.
Motivated by enabling researchers and accelerating their work.
Proficient in Python with experience in backend platform engineering.
Leads architecture and scaling of backend services, APIs, distributed systems, databases, and data pipelines for OpenAI's developer platform and enterprise products. Requires deep expertise in backend engineering, reliability, security, and cross-team collaboration in fast-paced environments.
385k – 490k
On-siteBackend Engineering
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