Drimva

OpenAI

Software Engineer, Product Velocity

$347K–$445K

San Francisco · Hybrid · Full-time · Posted Sep 28, 2026

Experience
Strong experience in relevant infrastructure areas; no number of years stated.

About the job

Improve the speed, reliability, and safety of the end-to-end development and deployment workflow for ChatGPT engineers.

What you'll do

  • Reduce local development, build, and CI latency while improving reliability and merge throughput.
  • Build automation and self-healing deployment workflows that reduce manual intervention while preserving production safety.
  • Improve deploy observability and measure the impact of workflow improvements.

What they ask for

  • Strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability.
  • Ability to debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines.
  • Ability to replace repeated manual intervention with policy-backed automation while preserving production safety.
  • Strong cross-team communication and ability to turn ambiguous workflow problems into owners, hypotheses, metrics, and shipped fixes.

Nice to have

  • Experience improving developer experience in a very large monorepo.
  • Experience with remote execution, remote caching, hermetic builds, or cache reproducibility.

Pay

$347K – $445K USD base salary

Tools

Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript, GitHub workflows

AI focus

Build agents to help pull requests progress through rebasing, conflict resolution, CI triage, safe reruns, and owner routing; agent-assisted developer workflow experience is also a nice-to-have.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)