À propos
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:
7+ years of experience 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 Our Engineering Culture?
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. 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
Compétences linguistiques
- English
Avis aux utilisateurs
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