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Full Stack Software Engineer, Codex
OpenAI · San Francisco
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What OpenAI asks for
From OpenAI's Full Stack Software Engineer, Codex ad, checked 3 Nov 2026.
Full stack product ownership
Owning product experiences from start to finish, including user interfaces, backend systems, cloud infrastructure, and the orchestration of automated workflows.
TypeScript or Rust
Strong engineering fundamentals with experience building production systems using TypeScript, Rust, or a similar programming language.
AI-assisted development tools
Hands-on experience with AI-powered development tools and an understanding of how to apply AI to improve the software development lifecycle.
User-driven product iteration
Using direct feedback from developers or enterprise users to identify bottlenecks and iterate on product improvements.
Based in San Francisco. OpenAI considers applicants with arrest or conviction records consistent with applicable law, including the San Francisco Fair Chance Ordinance.
How the example answers the ad
Full stack product ownership
“Owned the end-to-end delivery of a custom code analysis engine, managing React frontends, Rust backends, and AWS infrastructure deployments”
Mentioning specific technologies across the stack, including React, Rust, and AWS, provides evidence for full stack product ownership. Managing these components from start to finish shows the ability to own entire product experiences.
TypeScript or Rust
“Architected a serverless deployment platform service using TypeScript, handling over 2 million requests per day with 99.99 percent uptime”
Operating a service that handles 2 million daily requests using TypeScript shows experience with that language in a high scale production system. The 99.99 percent uptime figure highlights the reliability of the engineered solution.
AI-assisted development tools
“Integrated advanced language models to provide real-time suggestions, improving developer productivity scores by 25 percent”
Applying language models to create suggestions for developers shows hands on application of AI to the software development lifecycle. The 25 percent improvement in productivity scores indicates a measurable effect on the development process.
User-driven product iteration
“Implemented user-driven feedback loops to identify and eliminate UI bottlenecks in the cloud dashboard, resulting in a 20 percent increase in user retention”
Using feedback loops to target specific UI bottlenecks shows user driven product iteration in action. Linking this process to a 20 percent increase in retention shows how feedback directly informs product improvements.
The whole example as text
Jessica Thompson · Staff Software Engineer
Summary
Full stack software engineer with 6 years of experience building developer-facing infrastructure. Architected end-to-end tooling to streamline deployment pipelines for distributed systems. Integrated advanced machine learning models to automate error detection and code maintenance for enterprise clients. Scaled cloud-native services by optimizing data ingestion paths and reducing latency by 40 percent.
Experience
Staff Software Engineer · GitHub
San Francisco, CA · 2025 - Present
- Owned the end-to-end delivery of a custom code analysis engine, managing React frontends, Rust backends, and AWS infrastructure deployments
- Reduced CI/CD pipeline latency by 35 percent by implementing a custom Rust-based caching layer for build artifacts
- Integrated advanced language models to provide real-time suggestions, improving developer productivity scores by 25 percent
- Partnered with open-source maintainers to resolve performance bottlenecks in high-traffic repository tooling
Senior Software Engineer · Vercel
San Francisco, CA · 2023 - 2025
- Architected a serverless deployment platform service using TypeScript, handling over 2 million requests per day with 99.99 percent uptime
- Optimized data query performance by 50 percent through the integration of a Redis-based caching layer for global edge functions
- Developed automated testing suites that reduced production bug reports by 30 percent across three primary product lines
- Implemented user-driven feedback loops to identify and eliminate UI bottlenecks in the cloud dashboard, resulting in a 20 percent increase in user retention
Software Engineer · Stripe
South San Francisco, CA · 2022 - 2023
- Built core financial reporting APIs, improving request processing speed by 25 percent for high-volume enterprise merchants
- Streamlined internal data processing pipelines, reducing manual reconciliation efforts for the treasury team by 15 hours per week
- Collaborated with security teams to implement robust rate-limiting features, successfully mitigating 99 percent of brute force login attempts
- Contributed to the internal component library, increasing frontend development velocity for feature teams by 20 percent
Junior Software Engineer · Datadog
New York, NY · 2020 - 2022
- Maintained distributed monitoring agents, ensuring reliable data ingestion for 500-plus enterprise clients
- Automated recurring service alerts using Python scripts, saving the engineering team 10 hours of manual labor monthly
- Refactored legacy logging modules to improve trace visualization accuracy by 40 percent
- Participated in a rotating on-call schedule, maintaining service reliability during periods of high traffic load
Education
B.S. Computer Science · University of California, Berkeley
Berkeley, CA · 2016 - 2020
- Graduated Cum Laude with a 3.8 GPA
- Conducted research on Natural Language Processing for efficient code parsing
- Led the university hackathon committee for two consecutive years
General Engineering · San Francisco State University
San Francisco, CA · 2014 - 2016
- Maintained Dean's List status for all four semesters
- Active member of the IEEE local student chapter
- Completed advanced coursework in Artificial Intelligence fundamentals
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
What does full stack mean for this role?
It goes beyond traditional frontend and backend work. You will be responsible for user interfaces, backend systems, cloud infrastructure, and designing AI agent workflows and prompts.
Which programming languages does the team use?
The team looks for experience with TypeScript, Rust, or similar systems and application programming languages.
Where do I apply?
On the official OpenAI posting, through the job link on this page.
What happens when I tailor my resume here?
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