Site Reliability Engineer – Platform Engineering

Role Overview

• Design, implement, and maintain scalable infrastructure on Google Cloud Platform to support CodeRabbit's rapidly growing user base and processing demands
• Develop, own and operate critical platform services
• Build and maintain Infrastructure as Code using Terraform-Terragrunt 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, observability and incident management solutions to maintain a high reliability.
• Conduct thorough incident response, root cause analysis, and post-mortem processes to continuously improve system reliability
• Optimize application and infrastructure performance and cost to handle millions of pull request analyses efficiently.
• 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.

Requirements

• 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
• Strong background with cloud platforms, particularly Google Cloud Platform (GCP) or Amazon Web Services(AWS) including compute, storage, networking, and managed services
• Experience in containerization and orchestration platforms (Kubernetes, Docker)
• Proficiency in Node.js and TypeScript for building automation tools, monitoring solutions, and platform services
• Advanced experience with Terraform for infrastructure provisioning and management
• Hands-on experience with Datadog or similar platforms (Prometheus, Grafana, ELK stack) for observability
• 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
• Familiarity with CI/CD tools and practices (Jenkins GitHub Actions, Circle CI)
• Understanding of microservices architecture and distributed systems principles
• Investigate, troubleshooting and root cause complex production issues methodically and prevent recurrence.

Tech Stack

• AWS
• Cloud
• Distributed Systems
• Docker
• Google Cloud Platform
• Grafana
• JavaScript
• Jenkins
• Kubernetes
• Linux
• Microservices
• Node.js
• Prometheus
• SQL
• Terraform
• TypeScript
• Unix

Benefits

• Competitive salary, equity, and benefits
• Professional development opportunities