CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.
Overview
As a Senior Software Engineer on CodeRabbit’s Enterprise Engineering team, 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 and features that empower developers to ship high-quality code faster. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity. You’ll work alongside other motivated engineers, AI researchers, infrastructure specialists, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale.
The Enterprise Engineering team focuses on building features and systems tailored for large organizations, ensuring that our platform meets the unique needs of enterprise customers. This includes developing and maintaining the self-hosted deployment, robust security measures, compliance features, scalable architectures that can handle the demands of large-scale deployments, and unique integrations with existing enterprise tools and workflows.
Responsibilities
Design, develop, and maintain enterprise features for CodeRabbit’s platform.
Build industry leading enterprise systems and features that are highly available, intuitive, scalable, and secure.
Work with product managers, designers, and other engineers to create systems and features that cater to large enterprise customers, both existing and prospective.
Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices.
Follow release management policies to ensure data integrity, compliance and system stability.
Interface with customers and internal stakeholders to gather requirements, provide technical support, and ensure successful deployment of enterprise features.
Mentor junior engineers and contribute to a culture of continuous learning and improvement within the team.
Qualifications
Bachelor’s (or equivalent) degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
4+ years building backend systems and distributed infrastructure. Requires experience in a production environment, ideally with SaaS or enterprise software. Requires experience with the following:
Programming languages commonly used for backend development - TypeScript (Node.js), Go, Java, or a similar modern backend stack
Experience building and maintaining APIs (REST, GraphQL)
Microservices, async job queues, and event-driven architectures
Relational databases (PostgreSQL, MySQL)
Cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability
Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows
Thoughtful about trade-offs, user experience, and fast iteration
As a bonus, 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
Integrating AI/LLM-based systems into product workflows
Open-source or community projects
Designing or implementing agent-based systems or AI products involving autonomous or task-driven agents
