Senior Software Engineer - Backend

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 beenergizing 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 tobuild 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