Principal Engineer- Backend

present of AI; Bengaluru; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

CodeRabbit is seeking a seasoned backend architect to set technical direction across multiple teams and design the core backend systems behind an AI code review platform.

A candidate should bring 10+ years of engineering experience, deep knowledge of distributed systems and cloud architecture, and a track record of mentoring engineers while making architecture decisions that scale and survive changes in demand.

Qualifications

• Over a decade of engineering experience with a track record in backend systems.
• Strong knowledge of distributed systems and cloud architecture.
• Experience mentoring engineers and making architecture decisions at scale.

Responsibilities

• Set technical direction across multiple teams and design core backend systems for an AI code review platform.
• Own architecture decisions and ensure systems scale and reliability.
• Build the validation layer for code changes and oversee risk and safety before merge.

Skills

Distributed systems

Cloud architecture

Technical leadership

Mentoring engineers

Job description

This role asks for a seasoned engineer who can set technical direction across several teams and design the core backend systems behind an AI code review platform. A strong candidate brings over a decade of engineering experience, deep knowledge of distributed systems and cloud architecture, and a record of building developer tools or infrastructure. Mentoring engineers and making architecture decisions that hold up at scale are central to the job.

How it fits the AI era

AI writes code faster than people can review it, so this role focuses on building systems that check changes for correctness, fit with the codebase, and safety before merge. Much of the routine checking can be automated, but judgment about architecture, risk, and what should ship stays with engineers. The work is less about writing every line and more about designing the validation layer that people trust.

How it builds AI experience

Working here means gaining hands on experience with large language models applied to code review, static analysis, and security monitoring across a very large volume of pull requests. A candidate can build this by contributing to open source developer tools, studying how code review systems work, and learning how models are used to explain and challenge code changes. The posting values familiarity with LLMs and prior work at developer tools companies.

Worth showing

• Open source contributions
• Technical leadership and mentoring
• Static analysis or compilers

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About CodeRabbit

An AI code reviewer that, per the company, comments on every pull request, built for a world where AI coding agents write more code than people can read.