All Openings
Bay Area, CA
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Full-Time
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Salary + Equity
About CodeRabbit
Current practices of ensuring quality in software workflows need an overhaul. They're often slow, inefficient, and costly, creating a major bottleneck. As developers, we have firsthand experience with these challenges and complexities. Our mission is to build an AI-first central code quality platform from the ground-up. That vision starts with augmenting manual code reviews using AI and eventually all other aspects of the quality workflows.
CodeRabbit is currently the most installed AI application on both GitHub and GitLab. It is used daily by thousands of developers and teams of all sizes, with over a thousand paying customers. We are backed by top-tier VCs and founders who have deep experience in developer workflows. If you are someone who cares about developer tooling and is interested in joining our team, we would love to hear from you.
Job description
We are looking for an exceptional Platform Engineer to join us on our mission to build the best AI code quality platform at scale.
Challenges
Develop and establish best practices for the AI platform will serve as foundation for the rest of the CodeRabbit team to build upon.
Develop Retrieval Augmented Generation (RAG) pipeline(s) to bring in more context from diverse sources like codebases and technical documents.
Ensuring that the platform can handle large-scale data processing and simultaneous requests efficiently without compromising on performance.
Integration with various development environments, Git platforms, and workflow tools such as Jira/Confluence/Slack etc.
What we’re looking for
Requirements
5+ years of experience as a Platform Engineer.
Experience with building extensive and reliable platforms for other development teams.
Experience with building custom ETL/RAG pipelines at scale.
Experience in building large scale API integrations.
Experience working with large-scale data platforms (e.g., Kafka, OLAP databases).
Problem-solvers who can apply innovative ideas to solve the unknown challenges.
Ownership: You want to build something you are proud of. Monitor what you ship, learn, iterate, and make it better.
Velocity: Deliver high-quality software quickly through decisive action and effective execution.
Good-to-haves
Presence in the OSS ecosystem and ideally you’d have a project or two that you are proud to show off to us.
Conceptual understanding of containers, orchestration, and resource provisioning systems (e.g., Docker, Kubernetes) is a plus.
Experience with AI platforms and technologies, including generative models and LLMs.