DevOps Engineer

About CodeRabbit

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.

Role Overview

As a DevOps Engineer at CodeRabbit, you’ll play a key role in scaling, securing, and hardening the infrastructure that powers our AI-enabled developer tools. You’ll work closely with our platform engineers, backend team, and applied AI teams to ensure that our systems are resilient, observable, fast, and easy to deploy.

This is a hands-on, IC-focused role for someone who thrives in fast-paced environments, takes ownership of critical infrastructure, and wants to build tooling that unblocks an ambitious engineering team.

Responsibilities

Design, implement, and maintain scalable CI / CD pipelines

Develop and manage infrastructure as code (e.g., Terraform, Pulumi)

Improve system reliability through monitoring, alerting, logging, and failover strategies

Work with platform and backend teams to identify and resolve performance bottlenecks

Contribute to deployment workflows, environment automation, and developer tooling

Ensure infrastructure security and compliance practices are in place

Qualifications

Education : Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Experience : 3–5 years in a DevOps, Infrastructure, or SRE role at a fast-paced tech company or startup

Tooling : Expert-level proficiency with CI / CD systems (GitHub Actions, ArgoCD, etc.), Docker, and Kubernetes

Infrastructure : Expert with cloud providers (AWS / GCP), distributed systems architecture and implementation, IaC tools (Terraform, Pulumi), and secrets management (Vault, SSM, etc.)

Observability : Strong understanding of logging, metrics, and monitoring in large-scale distributed systems (e.g., Grafana, Prometheus, ELK, Datadog)

Collaboration : Effective at partnering with backend and ML teams to deliver stable, high-velocity systems

Security : Experience building with best practices in cloud and application-level security

Bonus Points

Experience supporting AI or ML workloads in production

Experience with ephemeral environments and preview deployments

Contributions to internal platform tools or DevOps open-source projects

Past ownership of high-uptime systems or regulated environments

Why Join Us?

Build the Future : We’re redefining code review with AI. You’ll help shape a new development paradigm with cutting-edge technology that has real-world impact.

Real Ownership : Every engineer at CodeRabbit owns projects end-to-end — from proposal to production.

Collaborative & Innovative Environment : Join a tight-knit team of engineers, designers, and researchers who are passionate about building transformative products.

Professional Growth : We invest in our people — through mentorship, responsibility, and development opportunities.

Competitive Compensation : We offer a strong salary, equity, and benefits package.

Hybrid Work Culture : We collaborate in person in the Bay Area weekly, with flexibility for heads-down remote work.

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

Base pay range for this role is $180k-260k. Actual salary will be based on job-related skills, experience, and location.

Apply Now — If you're passionate about building high-impact infrastructure and enabling AI-powered developer experiences, we’d love to hear from you.