СШАStaff Generalist Engineer
1 мес. назад
250k–300k USD / годСШАLeadOnsite
reinforcement learningend-to-end testingcode reviewself-hosted deployments
Staff Generalist Engineer role at an AI code review company focused on improving pull request reviews and bug detection.
О компании
- We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, etc.
Обязанности
- Solve some of our hardest and most interesting problems, including LLM memory, multi-language codebase indexing, semantic search for large codebases, and much more.
- Design, implement, test, and deploy full features
- Get user feedback to iterate the features
- Lead cross-team initiatives that span multiple quarters
- Set architectural direction and technical standards while simplifying complex systems
- Build platforms, tooling, and shared infrastructure that make the entire team faster
- Proactively manage risk across scaling, incidents, security, and compliance
Требования
- B.S. Computer Science or equivalent degree, undergraduate or higher
- 6+ years of software or DevOps engineering experience
- Experience with JavaScript/TypeScript
Другое
- is an AI code reviewer that catches bugs and anti-patterns in pull requests with complete context of the codebase. Hundreds of top software companies, from YC startups to big tech, and teams in finance, healthcare, and defense, use to merge PRs faster and catch more bugs.
- reviews 5B lines of code every month for 22,000+ customers. A new repo starts using every 2 minutes. We also uniquely offer self-hosted, air-gapped deployments for enterprises across defense, financial services, and healthcare.
- Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
- Can we identify for each customer what types of PR feedback they do and don’t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
- Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
- 22,000+ customers
- 5B lines of code reviewed every month
- Scaled from $0 to eight figures in ARR
- Raised $30M from Benchmark, Y Combinator, Paul Graham, and Initialized
- You want to work on a product that thousands of developers rely on
- The chaos of high growth and things breaking is exciting to you
- You like being in an office every day around other smart people who are excited about what they’re building
- You love solving very hard problems.
- You specifically prefer working in-person over working remote