CodeRabbit
Senior Site Reliability Engineer
Remote Engineering role with clear candidate location fit.
PostedJan 9, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
CanadaUSA
Role overview
Senior Site Reliability Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Infrastructure & Platform Ownership
- 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
Reliability & Performance Engineering
- 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
Automation & Developer Experience
- 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]
Security & Compliance
- 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
Required Qualifications:
- 7+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)
Technical Skills
- 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
Systems & Operations
- 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
Bonus Points:
- 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
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.
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