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.
210k – 490k/yr
On-site5+ YOEDevOps / SRE
About the role
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.
Builds and operates continuous deployment platforms for safe, rapid code rollouts across Kubernetes clusters and global regions. Focuses on progressive delivery, GitOps, automation, and AI-assisted workflows to boost developer productivity.
210k – 490k/yr
On-siteDevOps / SRE
Software Engineer, Product Infrastructure
NotionSan Francisco, CA +1
Build core frameworks and abstractions for data handling, developer productivity, and performance across Notion's stack. Solve complex challenges like content graph traversal and permission scaling using tools like AWS, Postgres, Node.js, TypeScript, and React.
209k – 240k/yr
HybridDevOps / SRE
Software Engineer, Platform
OpenRouterUnited States
Owns and scales platform infrastructure including edge/cloud services on Cloudflare, GCP, Vercel and data layers like Spanner, ClickHouse, Postgres to serve millions of LLM requests daily. Requires 5+ years in production infrastructure with cloud platforms, databases, and full-stack TypeScript expertise.
215k – 285k/yr
Remote5+ YOEDevOps / SRE
Manager, Site Reliability Engineering
OktaSan Francisco, CA
Lead and mentor SRE teams managing Okta's IDaaS platform on AWS, driving DevOps maturity, platform reliability, and tooling across Kubernetes, CI/CD, observability, and automation domains.
Build and scale enterprise GenAI infrastructure across multi-cloud providers (AWS, Azure, GCP), implementing integrations and architecting systems for regulated industries. Requires 4+ years experience, proficiency in Python/JS/SQL, Kubernetes, and AI technologies like LLMs.