> Markdown version of [/jobs/ext/4242958-senior-software-engineer-backend](https://www.wearedevelopers.com/jobs/ext/4242958-senior-software-engineer-backend). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Backend - **Company:** CodeRabbit Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Static Program Analysis, Code Review, Distributed Systems, Integrated Development Environments, Node.Js, Open Source Technology, Software Construction, Software Engineering, TypeScript, DevOps Tools - Open-source, Large Language Models, Generative AI, Backend, Juniper, Agentic-AI, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Build Tools, Software Version Control, Docker, Microservices - **Published:** October 26, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-backend-san-francisco-ca--b730f37a-0c1b-4631-90ca-8f4344f72438 ## About the Role Software Engineering, Code Reviews, Open Source, IDE (Integrated Development Environment), Artificial Intelligence (AI), Change Requests/Orders, Change Management, Juniper Networks M-Series, Change Control, Artificial Intelligence (AI) Agents, * 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, * 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 ## Description * 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, * 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.