8 months ago
Base Salary
$266k - $445k/yr
Responsibilities
- Own distributed logging, time-series, and trace-storage infrastructure for the observability platform.
- Build AI-native tools that help engineers detect, understand, and resolve production issues.
- Develop dashboards, notebook-style workflows, and interactive debugging interfaces.
- Collaborate with engineering, research, user operations, product, and other teams across OpenAI.
- Build foundational infrastructure and internal tools that improve production-system reliability, performance, and observability.
Requirements
- Experience operating large-scale distributed systems in production, especially logging systems or time-series databases.
- Strong fundamentals in systems, networking, and cloud infrastructure.
- Ability to solve ambiguous and unscoped technical problems in a hands-on environment.
- Full-stack development skills or strong product sensibilities and interest in building tools used by engineers.
- Observability experience with systems such as Prometheus or OpenTelemetry is a bonus.
Tech Stack
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.