Software Engineer, Infrastructure - Core Experimentation
OpenAI· Applied AI
Seattle$347k - $385kFull-timePosted 7mo ago
About the role
Infrastructure engineer building and scaling OpenAI's experimentation and rollout platform (Statsig), focusing on low-latency configuration delivery, high-throughput data ingestion, analytics infrastructure, and reliable, scalable systems to support OpenAI product releases.
Responsibilities
- Design and operate low-latency configuration delivery systems powering feature flags, dynamic configs, and progressive rollouts across OpenAI product suites.
- Scale SDK, server-side evaluation, and control-plane systems so high-volume services can depend on Statsig without adding user-visible latency or operational fragility.
- Build high-throughput data ingestion and analytics infrastructure for experimentation, product analytics, feature performance monitoring, and model or product measurement workflows.
- Improve performance, efficiency, reliability, and observability of core Statsig infrastructure as OpenAI products scale globally.
- Optimize query performance, data freshness, and data availability for teams making launch decisions from experimentation and analytics workflows.
- Strengthen operational excellence through better SLOs, alerting, debugging tools, incident response, capacity planning, and failure-mode design.
- Partner with teams across ChatGPT, Codex, model measurement, consumer ads, business subscriptions, developer products, and infrastructure to turn recurring launch and measurement needs into durable platform capabilities.
- Lead large technical initiatives and shape the architecture of experimentation and rollout infrastructure used across the company.
Qualifications
- Have experience building large-scale distributed systems with strict performance, availability, and correctness requirements.
- Enjoy low-latency systems work, including real-time configuration delivery, SDK/runtime performance, caching, concurrency, and high-throughput service design.
- Have built or operated large-scale data platforms, event pipelines, analytics systems, or query infrastructure where freshness and correctness matter.
- Care deeply about reliability, observability, incident response, capacity planning, and the practical craft of keeping critical production systems boring in the best way.
- Are excited by the post-acquisition chapter of a high-performing infrastructure team: preserving Statsig's strengths while integrating deeply into OpenAI's product and platform stack.
- Want to work on infrastructure that directly affects how ChatGPT, Codex, model measurement, ads, business subscriptions, developer products, and future OpenAI surfaces ship.
- Take ownership of complex technical problems end to end and enjoy building infrastructure that lets other teams move faster with more confidence.
Skills
Required:Distributed systems designLow-latency configuration deliveryData ingestion and analytics
Benefits
- 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
Last updated Sep 3, 2026. Interested? Apply on the company site.
About OpenAI
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