Site Reliability Engineer

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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 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

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