Builds and scales infrastructure for OpenAI's experimentation platform, including low-latency configuration delivery, high-throughput data ingestion, and analytics systems handling billions of evaluations. Requires expertise in large-scale distributed systems, performance optimization, and operational excellence.
293k – 325k/yr
HybridDevOps / SRE
About the role
In this role, you will:
Design and operate low-latency configuration delivery systems powering progressive rollouts across OpenAI’s product suites.
Build highly scalable data ingestion and analytics infrastructure to support experimentation, product analytics, and feature performance monitoring.
Improve the performance, efficiency, and reliability of Statsig’s core infrastructure, ensuring systems remain fast and stable as OpenAI’s products scale globally.
Optimize query performance and data availability for experimentation and analytics workflows used by teams across OpenAI.
Lead large technical initiatives and shape the architecture of experimentation and rollout infrastructure used across the company.
You might thrive in this role if you:
Have experience building large-scale distributed systems with strict performance and reliability requirements.
Enjoy solving low-latency systems problems, such as real-time configuration delivery, high-throughput ingestion pipelines, or large-scale analytics systems.
Have experience building and optimizing large-scale data platforms, event pipelines, etc.
Care deeply about system reliability, observability, and operational excellence in production environments.
Take ownership of complex technical problems end-to-end and enjoy building infrastructure that enables other teams to move faster.
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