# Software Engineer, Productivity - Networking

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $230k – $385k/yr
**Skills:** C++, Python, CI/CD, Bazel, Cmake, Blaze, Testing Infrastructure, Release Pipelines, Build Systems, Test Harnesses
**Posted:** 2026-04-28

> Enhances developer productivity for OpenAI's networking team by improving build systems, CI/CD pipelines, test harnesses, and workflows for C++ and Python codebases in multi-server environments. Requires experience with developer tools and infrastructure automation.

## Job Description

## Responsibilities
- Improve development workflows for engineers building and operating OpenAI's networking systems
- Design and improve continuous deployment, release, and validation pipelines
- Build and maintain test harnesses for multi-server, networked, and hardware-backed environments
- Improve iteration speed across C++, Python, and build-system-heavy codebases
- Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows
- Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads
- Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers

## Requirements
- Motivated by helping other engineers move faster and with more confidence
- Experience with **CI/CD**, release pipelines, testing infrastructure, or build systems
- Comfortable moving between **C++**, **Python**, and build systems such as **CMake**, **Bazel**, or **Blaze**
- Enjoy building test harnesses, automation, and workflow improvements for complex systems
- Excited to learn about networking domain to make the team more effective
- Instinct to fix friction like slow builds, flaky tests, brittle release processes, painful debugging, unclear validation
- Pragmatic, balance high standards with forward progress
- Like going end-to-end: understanding engineers, workflows, codebase, and operational realities
- Self-directed and comfortable operating with ambiguity in high-context infrastructure environment

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