Senior Software Engineer - Backend

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