{"schemaVersion":"jobsearcher.job.v1","id":"1a3feff05a10598feab594ab","url":"https://jobsearcher.com/jobs/1a3feff05a10598feab594ab","canonicalUrl":"https://jobsearcher.com/jobs/1a3feff05a10598feab594ab","title":"Senior Site Reliability Engineer","description":"About CodeRabbit\nCodeRabbit 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.\n\nThe Role:\nWe 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.\n\nAs 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.\n\nKey Responsibilities:\nInfrastructure & Platform Ownership\n\nDesign, implement, and maintain scalable infrastructure on Google Cloud Platform to support CodeRabbit's growing user base and processing demands\n\nOwn and operate critical platform services\n\nBuild and maintain Infrastructure as Code using Terraform to ensure consistent, reproducible, and version‑controlled infrastructure deployments\n\nReliability & Performance Engineering\n\nEstablish and maintain SLI/SLO frameworks for all critical services, ensuring we meet our reliability commitments to users\n\nImplement comprehensive monitoring, alerting, and observability solutions using Datadog and custom instrumentation\n\nConduct thorough incident response, root cause analysis, and post‑mortem processes to continuously improve system reliability\n\nOptimize application and infrastructure performance to handle millions of pull request analyses with minimal latency\n\nDesign and implement chaos engineering practices to proactively identify and resolve system weaknesses\n\nAutomation & Developer Experience\n\nDevelop self‑service platforms and tooling that empower engineering teams to deploy, monitor, and troubleshoot their services independently\n\nAutomate operational tasks including scaling, backup/recovery, security patching, and routine maintenance\n\nCreate and maintain infrastructure APIs and abstractions that simplify complex operations for development teams\n\nSecurity & Compliance\n\nIntegrate security best practices into all infrastructure and platform services\n\nImplement and maintain security monitoring, vulnerability scanning, and compliance reporting\n\nDesign secure network architectures including VPC configuration, firewall rules, and access control systems\n\nEstablish and maintain disaster recovery procedures and business continuity planning\n\nRequired Qualifications:\n\n7+ years of hands‑on experience in Site Reliability Engineering, Platform Engineering, or DevOps Engineering roles\n\nProven track record of managing production systems at scale, preferably in high‑growth technology companies\n\nExperience with cloud platforms, particularly AWS or Google Cloud Platform (GCP), including compute, storage, networking, and managed services\n\nStrong background in containerization and orchestration platforms (Kubernetes, Docker)\n\nTechnical Skills\n\nProgramming Languages : Proficiency in Node.js and TypeScript for building automation tools, monitoring solutions, and platform services\n\nInfrastructure as Code : Advanced experience with Terraform for infrastructure provisioning and management\n\nMonitoring & Observability : Hands‑on experience with Datadog or similar platforms (Prometheus, Grafana, ELK stack) for observability\n\nCloud Platforms : Comprehensive experience with GCP services including Compute Engine, GKE, Cloud Run, Cloud SQL, Cloud Storage, Load Balancing, and IAM\n\nSystems & Operations\n\nStrong Linux/Unix systems skills\n\nExperience with network protocols, load balancing, and CDN technologies\n\nKnowledge of security principles and best practices for cloud infrastructure\n\nFamiliarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions)\n\nUnderstanding of microservices architecture and distributed systems principles\n\nBonus Points:\n\nExperience with AI/ML infrastructure and tools\n\nBackground in managing high‑traffic web applications and API services\n\nExperience with disaster recovery planning and execution\n\nFamiliarity with compliance frameworks (SOC 2, ISO 27001)\n\nContributions to open‑source infrastructure or SRE tooling projects\n\nExperience with cost optimization and FinOps practices\n\nKnowledge of performance testing and capacity planning methodologies\n\nWhy Join Our Engineering Culture?\n\nCodeRabbit 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.\n\nWe 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.\n\nOur operating philosophy : bias toward action, ship the smallest necessary coherent slice, validate proportionally to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship.\n\nThis 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.\n\nIf you want 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.\n\nOur Values\n\nCollaborative Humans : Prioritizing collective intelligence\n\nFearless Innovators : Turning obstacles into growth opportunities\n\nPersistent, Passionate Developers : Thriving on complex, long‑term challenges\n\nImpact‑Driven Creators : Crafting intuitive tools for developers\n\nRapid Learners and Un‑learners : Adapting quickly in our fast‑paced technological world\n\n#J-18808-Ljbffr","company":"Coderabbit","rawCompany":"coderabbit","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:49:04.559Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Site Reliability Engineer","description":"About CodeRabbit\nCodeRabbit 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.\n\nThe Role:\nWe 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.\n\nAs 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.\n\nKey Responsibilities:\nInfrastructure & Platform Ownership\n\nDesign, implement, and maintain scalable infrastructure on Google Cloud Platform to support CodeRabbit's growing user base and processing demands\n\nOwn and operate critical platform services\n\nBuild and maintain Infrastructure as Code using Terraform to ensure consistent, reproducible, and version‑controlled infrastructure deployments\n\nReliability & Performance Engineering\n\nEstablish and maintain SLI/SLO frameworks for all critical services, ensuring we meet our reliability commitments to users\n\nImplement comprehensive monitoring, alerting, and observability solutions using Datadog and custom instrumentation\n\nConduct thorough incident response, root cause analysis, and post‑mortem processes to continuously improve system reliability\n\nOptimize application and infrastructure performance to handle millions of pull request analyses with minimal latency\n\nDesign and implement chaos engineering practices to proactively identify and resolve system weaknesses\n\nAutomation & Developer Experience\n\nDevelop self‑service platforms and tooling that empower engineering teams to deploy, monitor, and troubleshoot their services independently\n\nAutomate operational tasks including scaling, backup/recovery, security patching, and routine maintenance\n\nCreate and maintain infrastructure APIs and abstractions that simplify complex operations for development teams\n\nSecurity & Compliance\n\nIntegrate security best practices into all infrastructure and platform services\n\nImplement and maintain security monitoring, vulnerability scanning, and compliance reporting\n\nDesign secure network architectures including VPC configuration, firewall rules, and access control systems\n\nEstablish and maintain disaster recovery procedures and business continuity planning\n\nRequired Qualifications:\n\n7+ years of hands‑on experience in Site Reliability Engineering, Platform Engineering, or DevOps Engineering roles\n\nProven track record of managing production systems at scale, preferably in high‑growth technology companies\n\nExperience with cloud platforms, particularly AWS or Google Cloud Platform (GCP), including compute, storage, networking, and managed services\n\nStrong background in containerization and orchestration platforms (Kubernetes, Docker)\n\nTechnical Skills\n\nProgramming Languages : Proficiency in Node.js and TypeScript for building automation tools, monitoring solutions, and platform services\n\nInfrastructure as Code : Advanced experience with Terraform for infrastructure provisioning and management\n\nMonitoring & Observability : Hands‑on experience with Datadog or similar platforms (Prometheus, Grafana, ELK stack) for observability\n\nCloud Platforms : Comprehensive experience with GCP services including Compute Engine, GKE, Cloud Run, Cloud SQL, Cloud Storage, Load Balancing, and IAM\n\nSystems & Operations\n\nStrong Linux/Unix systems skills\n\nExperience with network protocols, load balancing, and CDN technologies\n\nKnowledge of security principles and best practices for cloud infrastructure\n\nFamiliarity with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions)\n\nUnderstanding of microservices architecture and distributed systems principles\n\nBonus Points:\n\nExperience with AI/ML infrastructure and tools\n\nBackground in managing high‑traffic web applications and API services\n\nExperience with disaster recovery planning and execution\n\nFamiliarity with compliance frameworks (SOC 2, ISO 27001)\n\nContributions to open‑source infrastructure or SRE tooling projects\n\nExperience with cost optimization and FinOps practices\n\nKnowledge of performance testing and capacity planning methodologies\n\nWhy Join Our Engineering Culture?\n\nCodeRabbit 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.\n\nWe 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.\n\nOur operating philosophy : bias toward action, ship the smallest necessary coherent slice, validate proportionally to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship.\n\nThis 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.\n\nIf you want 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.\n\nOur Values\n\nCollaborative Humans : Prioritizing collective intelligence\n\nFearless Innovators : Turning obstacles into growth opportunities\n\nPersistent, Passionate Developers : Thriving on complex, long‑term challenges\n\nImpact‑Driven Creators : Crafting intuitive tools for developers\n\nRapid Learners and Un‑learners : Adapting quickly in our fast‑paced technological world\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:49:04.559Z","dateModified":"2026-07-16T03:49:04.559Z","hiringOrganization":{"@type":"Organization","name":"Coderabbit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1a3feff05a10598feab594ab"},"url":"https://jobsearcher.com/jobs/1a3feff05a10598feab594ab"}}