Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $347K – $445K, with generous equity, performance-related bonuses for eligible employees, and the following benefits.
Benefits include:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production.
About the Role
We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production.
Responsibilities:
- Reduce local development startup and iteration latency for ChatGPT engineers
- Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations
- Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns
- Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers
- Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting
- Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action
- Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain
Requirements
- 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
- Comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents
- Product-oriented mindset: care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy
- Know how to replace repeated manual intervention with policy-backed automation while preserving production safety
- Good communication skills across teams and can turn ambiguous reports into crisp owners, hypotheses, metrics, and shipped fixes
- Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem
- Energized by high-leverage work where a small improvement can save hundreds of engineering hours
Nice to Have
- Experience improving developer experience in a very large monorepo
- Experience with remote execution, remote caching, hermetic builds, or cache reproducibility
- Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems
- Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows
- Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution
- Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development