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.
We are seeking an experienced Site Reliability Engineer to join our Platform Engineering team in the Bay Area. You'll be instrumental in ensuring the high availability, performance, and scalability of CodeRabbit's AI-powered code review platform. This role sits at the intersection of software engineering and systems operations, where you'll build the foundational platforms and automation that enable our engineering teams to deploy, monitor, and scale our services reliably.
As an SRE at CodeRabbit, you'll be responsible for enhancing the reliability of our critical services that process millions of code reviews, building sophisticated automation platforms, and owning the infrastructure that powers our AI-driven analysis engine. You'll work with cutting-edge technologies including large language models, real-time processing systems, and distributed architectures that operate at significant scale.
Design, implement, and maintain scalable infrastructure on Google Cloud Platform to support CodeRabbit's growing user base and processing demands
Own and operate critical platform services
Build and maintain Infrastructure as Code using Terraform to ensure consistent, reproducible, and version-controlled infrastructure deployments
Establish and maintain SLI/SLO frameworks for all critical services, ensuring we meet our reliability commitments to users
Implement comprehensive monitoring, alerting, and observability solutions using Datadog and custom instrumentation
Conduct thorough incident response, root cause analysis, and post-mortem processes to continuously improve system reliability
Optimize application and infrastructure performance to handle millions of pull request analyses with minimal latency
Design and implement chaos engineering practices to proactively identify and resolve system weaknesses
Develop self-service platforms and tooling that empower engineering teams to deploy, monitor, and troubleshoot their services independently
Automate operational tasks including scaling, backup/recovery, security patching, and routine maintenance
Create and maintain infrastructure APIs and abstractions that simplify complex operations for development teams
Integrate security best practices into all infrastructure and platform services
Implement and maintain security monitoring, vulnerability scanning, and compliance reporting
Design secure network architectures including VPC configuration, firewall rules, and access control systems
Establish and maintain disaster recovery procedures and business continuity planning
6-8 years of hands-on experience in Site Reliability Engineering, Platform Engineering, or DevOps Engineering roles
Proven track record of managing production systems at scale, preferably in high-growth technology companies
Experience with cloud platforms, particularly AWS or Google Cloud Platform (GCP), including compute, storage, networking, and managed services
Strong background in containerization and orchestration platforms (Kubernetes, Docker)
Programming Languages: Proficiency in Node.js and TypeScript for building automation tools, monitoring solutions, and platform services
Infrastructure as Code: Advanced experience with Terraform for infrastructure provisioning and management
Monitoring & Observability: Hands-on experience with Datadog or similar platforms (Prometheus, Grafana, ELK stack) for observability
Cloud Platforms: Comprehensive experience with GCP services including Compute Engine, GKE, Cloud Run, Cloud SQL, Cloud Storage, Load Balancing, and IAM
Strong Linux/Unix systems skills
Experience with network protocols, load balancing, and CDN technologies
Knowledge of security principles and best practices for cloud infrastructure
Familiarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions)
Understanding of microservices architecture and distributed systems principles
Experience with AI/ML infrastructure and tools
Background in managing high-traffic web applications and API services
Experience with disaster recovery planning and execution
Familiarity with compliance frameworks (SOC 2, ISO 27001)
Contributions to open-source infrastructure or SRE tooling projects
Experience with cost optimization and FinOps practices
Knowledge of performance testing and capacity planning methodologies
Strong problem-solving skills with the ability to debug complex distributed systems issues
Systematic approach to troubleshooting with excellent attention to detail
Passion for automation and eliminating toil through intelligent tooling and processes
Understanding of software engineering principles and ability to write production-quality code
Excellent communication skills with the ability to work effectively across engineering, product, and business teams
Ability to translate complex technical concepts into business impact and user value
Strong documentation skills and commitment to knowledge sharing
Enthusiasm for continuous learning and staying current with emerging technologies
Ability to thrive in a fast-paced, rapidly evolving startup environment
Proactive mindset with the ability to identify and solve problems before they impact users
Commitment to building inclusive, diverse, and collaborative team 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
coderabbit