# Software Engineer, Developer Productivity

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA, Seattle, WA
**Role:** DevOps / SRE
**Salary:** $210k – $490k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Terraform, Buildkite, Postgres, Cosmos Db, Kafka, Python, FastAPI, GPU, AI Tools
**Posted:** 2025-03-27

> Builds and maintains foundational systems, tools, and processes to boost developer productivity and engineering velocity at OpenAI. Requires 5+ years engineering experience, including infrastructure tooling, with core tech like Kubernetes, Python, and Terraform. Onsite in SF HQ.

## Job Description

## Responsibilities
- Drive the design, development, and implementation of tools, systems, and processes that accelerate engineering velocity, reduce manual effort, and increase the quality of output.
- Use our latest AI tools to re-think how we can be the most productive team in the industry.
- Work closely with various teams within OpenAI to understand their workflows, challenges, and needs, and ensure the tools and systems built by the Engineering Acceleration team address these requirements.
- Bring new features and research capabilities to the world by partnering with product engineers to lay the necessary technical foundations.
- Guide and advise product engineering teams on best practices for ensuring observable, scalable systems.
- Responsible for the reliability of the systems we build, including an on-call rotation to respond to critical incidents as needed.

## Requirements
- 5+ years of experience in engineering, including 3+ years of experience in infrastructure building tooling for developers.
- Experience-driven empathy for the tools, frustrations, and processes that slow engineering teams down and lead to toil or burnout.
- Voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with others.
- Comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary.

## Technical Context
- Large-scale deployment of GPU nodes running in dozens of Kubernetes clusters across regions.
- Core technologies: **Terraform**, **Buildkite**, **Postgres**, **Cosmos DB**, **Kafka**, **Python**, **FastAPI**.

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