---
title: 'Senior Software Engineer - Backend at CodeRabbit'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-coderabbit-san-francisco-zghgphqnp1y7'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Software Engineer - Backend at CodeRabbit

- **Company:** [CodeRabbit](https://feeny.ai/companies/coderabbit)
- **Location:** San Francisco, CA
- **Compensation:** $185k–$275k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-04-27
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/coderabbit/8fa615fb-94b8-41b3-a104-adcb9e48ec66/application

**Skills:** TypeScript, Node.js, Distributed systems, Microservices, Async job queues, Event-driven architectures, AWS, GCP, Docker, Kubernetes, CI/CD, Version control, Software testing, Code search tools, Code graphs, Tree-sitter, Static analysis tools, AI/LLM integration, Agent-based systems

> Architect and build scalable backend services, APIs, and distributed systems for AI-driven code review tools. Collaborate with ML engineers to integrate models into agent-based systems while mentoring junior engineers and owning architectural decisions.

## Job description

## 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 Software Engineer at CodeRabbit, you'll be contributing to the development of advanced applied AI systems that revolutionize code review processes. You'll work at the intersection of intelligent systems and software engineering, creating tools that empower developers to iterate rapidly in complex environments. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity. You’ll help architect and build core backend systems — the infrastructure that powers our AI agent workflows, context-enriched code reviews, repo-level planning tools, and dashboard interfaces. You’ll work alongside AI researchers, infra specialists, frontend engineers, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale.

## Responsibilities

- Architect and build scalable backend services, APIs, and distributed systems
- Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents
- Guide junior engineers through mentorship and technical reviews
- Own architectural decisions in new product features
- Ensure reliability, performance, and security across systems
- Contribute to an engineering culture of speed, quality, and pragmatic innovation

## Qualifications

- Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience
- Experience: 5+ years building backend systems and distributed infrastructure
- Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with micro services, async job queues, and event-driven architectures
- Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
- Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
- Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration
- Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager

Bonus Points

- Experience with code search, code graphs, tree-sitter, or static analysis tools, and an understanding of how to apply them in real-world engineering environments
- Experience integrating AI/LLM-based systems into product workflows
- Contributions to open-source or community projects
- Experience designing or implementing agent-based systems or AI products involving autonomous or task-driven agents

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: Prioritizing collective intelligence
- 🚀 Fearless Innovators: Turning obstacles into growth opportunities
- 💪 Persistent, Passionate Developers: Thriving on complex, long-term challenges
- 🎯 Impact-Driven Creators: Crafting intuitive tools for developers
- 🧠 Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world

## About CodeRabbit

## Company Overview
- **One-liner**: CodeRabbit is an AI‑powered platform that automates the first pass of code reviews, providing context‑aware, human‑like feedback to help development teams ship faster and catch more bugs.
- **Entity Type**: Private (Series B; total funding $79.61M; last round $60M in October 2025)
- **Headquarters**: San Francisco, United States (also reported as Walnut Creek, California – conflicting reports)
- **Founded**: 2023
- **Founders**: Harjot Gill (CEO) is the primary founder; other co‑founders are not publicly disclosed.

## Core Business
- **Primary industries**: Software Development, AI‑powered Developer Tools
- **Target customers**: B2B, serving Engineering teams across SMB and Enterprise (15,000+ customers including The Economist, Life360, ConsumerAffairs, Hasura)
- **Mission / purpose**: “Revolutionize how code reviews are done” – enabling teams to move fast while maintaining code quality.

## Products & Services
- **CodeRabbit AI Review (SaaS / API)**: An AI‑powered code review agent that integrates with GitHub, GitLab, and other platforms. It provides line‑by‑line feedback, code suggestions, architectural diagrams, unit‑test generation, docstring creation, and a “Chat with CodeRabbit” feature. Supports custom guidelines, path/AST‑based instructions, and learns from developer feedback (“Learnings”).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: **Total Funding** – $79.61 million raised (Series B led by Scale Venture Partners at $60M, October 2025)
- **Notable Investors / Partners**: Scale Venture Partners (lead, Series B), CRV (lead, Series A), Engineering Capital, Harmony Partners, NVentures (NVIDIA), and 8+ other investors.
- **Growth Signals**:
  - Headcount: 154 employees, **+363.6% year‑over‑year**.
  - Customer base grew to 15,000+.
  - SOC 2 Type II certified; GDPR compliant.
  - Acquired FluxNinja in 2024.
  - Claimed as “Most installed AI App” (quote attributed to Jensen Huang, NVIDIA CEO) on homepage.
  - Active job postings: **39** (yearly increase of +550%).

## Competitive Advantages
- **Continuous learning**: AI agent improves over time by incorporating developer feedback in natural language.
- **Deep context**: Uses Codegraph, MCP servers, linked issues (Jira, Linear), and web queries to understand dependencies across files.
- **Noise reduction**: 40+ linters and security scanners are integrated while false positives are filtered out.
- **Customizability**: Entire review workflow can be configured via a YAML file, including custom checks and coding guidelines.
- **Security‑first**: End‑to‑end encryption, zero data retention post‑review, independent SOC 2 Type II audits.

## Strategic Focus
- **Expand pre‑merge checks** and finishing touches (e.g., custom checks in natural language).
- **Deepen IDE & CLI integration** to review code even before PRs are created.
- **Enterprise growth**: Hiring senior sales roles (Enterprise AE, Sales Manager) and expanding into EMEA and APAC markets (e.g., South Korea).
- **Continuous improvement** of AI agent through user feedback and expanded external context sources.

## Why Work Here
- **Culture**: Described as fast‑paced, innovation‑driven, collaborative, and impact‑oriented. Values: fearless & innovative, persistent & passionate, impact‑driven.
- **Work model**: Hybrid/office‑first (San Francisco office with daily catered lunch); remote roles may be available for some positions.
- **Compensation & perks** (from careers page):
  - Unlimited PTO
  - Premium medical, dental, vision coverage
  - 401(k) for U.S. hires
  - Stock options (high growth potential)
  - Monthly commuter stipend
  - Learning & development stipend
- **Employee sentiment**: 3.8/5 on LinkedIn (11 reviews), with Compensation at 4.2, Career growth at 4.1, and Culture at 3.8.
- **Engineering culture**: Technical team makes up 28% of headcount; employees use and improve the AI tool themselves; strong emphasis on shipping fast without breaking things.

## Sources
1. [coderabbit.ai/careers](https://coderabbit.ai/careers)
2. [coderabbit.ai](https://coderabbit.ai/)
3. [cbinsights.com/company/coderabbit](https://www.cbinsights.com/company/coderabbit)
4. [linkedin.com/company/coderabbitai](https://www.linkedin.com/company/coderabbitai)
5. [jobs.ashbyhq.com/coderabbit](https://jobs.ashbyhq.com/coderabbit)

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