Software Engineer, Engineering Acceleration | Consumer Devices
OpenAI · San Francisco, CA · Consumer Products
About this role
OpenAI is hiring a mid-level Platform Engineer in the software engineering function based in San Francisco, CA. The posting calls out experience with Kubernetes, Terraform, PostgreSQL, Kafka. Compensation is listed at $230,000–$342,000 per year.
- Role
- Platform Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Consumer Products
- Posted
- Apr 17, 2026
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Job description
from OpenAI careersAbout the Team
At OpenAI | Consumer Devices, you won’t just build products—you’ll help shape the future of how humanity interacts with intelligence. We’re looking for exceptional people who thrive on solving hard problems, move with urgency, and want their work to matter at global scale. Here, you’ll collaborate with some of the most talented minds in research, engineering, and operations to create products that millions (perhaps billions) will come to enjoy and rely on. If you’re motivated by impact, curiosity, and the chance to define what comes next, we’d like to hear from you.
About the Role
The Engineering Acceleration-focused engineer on the Consumer Device Infrastructure team builds the CI/CD systems, developer workflows, and internal platform capabilities that help engineers develop, test, ship, and debug software across device and cloud surfaces.
This is a highly hands-on senior engineering role focused on CI/CD, software build and deployment pipelines, and developer productivity. You will design and build the technical foundations that improve engineering velocity, reduce toil, and increase software quality. You will also make pragmatic architecture and platform decisions based on the organization’s stage, scaling needs, and security requirements.
We’re looking for an engineer with deep experience in developer productivity and CI/CD who enjoys building robust internal platforms, improving day-to-day engineering workflows, and creating secure, reliable systems that other engineers depend on.