DevOps Engineer

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.

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.

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  Design, implement, and maintain scalable CI/CD pipelines

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

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

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

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  Contribute to deployment workflows, environment automation, and developer tooling

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  Ensure infrastructure security and compliance practices are in place

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

• Experience: 3 - 5 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
  

• 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

• 🤝 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
  

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