Senior Staff Software Engineer, Engineering Acceleration | Consumer Devices

The Consulting Solutions; Spain, San Francisco (TX, CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI’s Consumer Devices team is seeking an Engineering Acceleration-focused engineer to build and operate CI/CD systems, developer workflows, and internal platform capabilities that span device and cloud surfaces.

You will design and implement platform features, improve developer productivity, and apply AI-native tooling to streamline workflows while maintaining strong security and observability across large Kubernetes deployments.

Qualifications

• 10+ years of software engineering experience.
• 5+ years building developer productivity, CI/CD, internal platform, or engineering systems.
• Experience designing and operating robust CI/CD pipelines and build systems.
• Experience making architectural decisions for internal platforms.
• Experience adapting decisions to organizational maturity and scale.

Responsibilities

• Design, build, and operate CI/CD systems and software delivery pipelines for device and cloud software.
• Lead the design and architecture of internal platform capabilities across build, test, deployment, workflow automation, and developer tooling.
• Make hands-on technical decisions about platform design and tradeoffs.
• Improve developer productivity by shortening feedback loops across build, test, debugging, and release workflows.
• Build self-serve workflows that are fast, reliable, and easy to adopt.
• Use AI-native tooling to improve engineering workflows and output quality.
• Ensure secure-by-default platform capabilities including access controls and auditability.
• Collaborate with product, systems, release, quality, and infra teams to improve the platform.
• Define and track metrics for platform health and engineering effectiveness.

Skills

CI/CD pipelines

Platform design

Engineering velocity

Internal platform

Security in delivery

Cross-team collaboration

Tools

Terraform

Buildkite

Bazel

Postgres

Cosmos DB

Kafka

Job description

Overview

About 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.

Responsibilities

• Design, build, and operate CI/CD systems and software delivery pipelines for software that runs both on device and in the cloud.
• Lead the design and architecture of internal platform capabilities across build, test, deployment, workflow automation, and developer tooling.
• Make hands-on technical decisions about platform design, abstraction boundaries, and system tradeoffs based on the team’s current stage, scale, and operational needs.
• Improve developer productivity by shortening feedback loops across build, test, debugging, environment setup, and release-adjacent workflows.
• Build self-serve paved-road workflows that reduce manual effort and make common engineering tasks fast, reliable, and easy to adopt.
• Use AI-native tooling and automation to improve engineering workflows, failure triage, and developer output quality.
• Build secure-by-default platform capabilities, including access controls, secrets and credential handling, artifact permissions, auditability, and policy enforcement in software delivery workflows.
• Partner closely with product, systems, release, quality, and infrastructure teams to understand pain points and turn them into durable platform improvements.
• Define and track metrics for platform health and engineering effectiveness, including build times, queue times, failure rates, flaky failures, and deployment lead time.
• Guide engineering teams on pragmatic observability, reliability, and scalability choices for the systems they build.
• Participate in the on-call rotation for the systems owned by the team.

Qualifications

• Have 10+ years of software engineering experience, including 5+ years building developer productivity, CI/CD, internal platform, or engineering systems.
• Have deep experience designing and operating robust CI/CD pipelines, build systems, and software delivery infrastructure for complex products.
• Have a strong track record of personally building platform features and workflow improvements that materially increased engineering velocity, reliability, or developer experience.
• Have experience making architectural decisions for internal platforms, including when to standardize, when to abstract, and when to keep systems simple.
• Have experience adapting technical decisions to the maturity and scaling stage of an organization, balancing speed, reliability, maintainability, and adoption.
• Have working knowledge of secure software delivery practices such as least-privilege access, secrets management, policy enforcement, auditability, or software supply chain hardening.
• Have strong empathy for the tools, workflows, and frustrations that create toil or slow engineering teams down.
• Are comfortable operating in ambiguous, fast-changing environments and bringing structure where needed.
• Communicate clearly and work effectively across teams with different priorities, constraints, and technical needs.

Technical Context

At the heart of our infrastructure is a large-scale deployment of CPU/GPU nodes running in Kubernetes clusters across regions. We build secure systems that support software running on device and in the cloud. Some core technologies we work with include Terraform, Buildkite, Bazel, Postgres, Cosmos DB, Kafka, and more.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is a powerful tool that must be created with safety and human needs at its core, and we strive to include diverse perspectives, voices, and experiences.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including fair chance ordinances where applicable.

OpenAI Global Applicant Privacy Policy. OpenAI is committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via the appropriate channels.