Coderabbit

Senior Full Stack Engineer

San Francisco, CA, United States · Hybrid · FullTime

USD 225,000–325,000/yearPosted over 6 months ago: check it’s still open

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About the role

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EmployerCoderabbit
LocationSan Francisco, CA, United States
Work styleHybrid
Employment typeFullTime
Employer posted6 months ago
Salary (as stated by the employer)USD 225,000 – 325,000 per year

About CodeRabbit

CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things.

We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve.

Role Overview

As a Full Stack Engineer at CodeRabbit, you’ll build end-to-end systems that power intelligent code review and developer workflows. Working across frontend, backend, and infrastructure, you’ll help create seamless, context-aware experiences that bring AI directly into the developer loop.

Show full description

You’ll design and ship features that span from intuitive interfaces to scalable backend services, enabling developers to move faster, understand their codebases more deeply, and collaborate more effectively. You’ll partner closely with AI researchers, product thinkers, and infra engineers to turn complex ideas into polished, production-ready systems.

Responsibilities

Design and build full stack features across frontend, backend, and infrastructure

Develop scalable APIs and services that support AI-driven workflows

Create intuitive, high-performance user interfaces for developer tools

Collaborate with ML engineers to integrate AI models into product experiences

Own projects end-to-end, from concept through deployment and iteration

Ensure performance, reliability, and maintainability across the stack

Contribute to engineering culture through code reviews, design discussions, and mentorship

Qualifications

Education: Degree in Computer Science, Engineering, or related field, or equivalent practical experience

Experience: 7+ years building full stack applications in production environments

Frontend: Proficiency in React, TypeScript, and modern web development practices

Backend: Strong experience with Node.js (or similar), APIs, and distributed systems

Systems Thinking: Familiarity with cloud infrastructure (AWS/GCP), containers, CI/CD, and observability

Engineering Craft: Strong fundamentals in testing, code quality, and version control

Product Mindset: Care for user experience, iteration speed, and pragmatic decision-making

AI Dev tool Fluency: Must have strong experience using development tools like Cursor, Claude Code, or Codex and strong familiarity with various models and where these systems work and don’t

Bonus Points

Experience building developer tools or working with code-centric systems

Familiarity with LLMs or integrating AI into product workflows

Experience with real-time systems, collaborative tools, or rich editors

Contributions to open source or technical communities

Why Join Our Engineering Culture?

CodeRabbit is building the next generation of AI-native developer tooling — starting with code review. We combine large language models with deep software engineering context to help teams ship faster, catch more bugs, and make better architectural decisions at scale.

We are a high-ownership engineering culture. That means no passive execution, no waiting for perfect tickets, and no narrowly defined task boundaries. Engineers here find problems before they're assigned, use AI as a core part of how they build, ship with judgment, and own outcomes from proposal to production.

Our operating philosophy: bias toward action, ship the smallest necessary coherent slice, validate proportional to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship.

This opportunity will be energizing for people who want real ownership, pace, and high standards. It's uncomfortable for people who prefer slow consensus or heavily managed workflows.

If you want to build tools that are changing how software gets written, and be held to the standard that the best engineers thrive under; we'd love to talk.

Our Values

🤝 Collaborative Humans: We build together, not in silos

🚀 Fearless Innovators: We explore bold ideas and iterate quickly

💪 Persistent Builders: We embrace hard problems and see them through

🎯 Impact-Driven: We focus on tools that meaningfully improve developer workflows

🧠 Adaptive Learners: We evolve with the technology we’re shaping

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