CodeRabbit

Support Engineer

• Debug, troubleshoot, and resolve highly complex technical issues that require code-level investigation and fixes
• Develop bug fixes and patches for production issues, working directly in the codebase
• Build small to medium-sized features and improvements based on customer feedback and support insights
• Conduct root cause analysis (RCA) on critical incidents and implement preventive measures
• Contribute to the product codebase through pull requests, code reviews, and technical documentation
• Develop internal tools, automation, and diagnostic utilities to improve supportability and scale operations
• Perform performance analysis and optimization for customer-specific deployment scenarios
• Serve as the escalation point for complex technical issues from L1/L2 support teams
• Conduct deep-dive technical sessions with customers to diagnose and resolve architectural or integration challenges
• Educate customers on advanced product usage, best practices, and optimal configurations
• Collaborate with customer success and sales teams on technical aspects of renewals, expansions, and complex deals
• Provide technical guidance during proof-of-concept and pilot implementations
• Analyze patterns across the customer base to identify systemic issues and improvement opportunities
• Partner with product and engineering teams to define and prioritize features based on support insights
• Contribute to internal and external knowledge bases, runbooks, and technical documentation
• Mentor L1/L2 support engineers on technical troubleshooting and product architecture
• Drive continuous improvement in product serviceability, observability, and debuggability
• Participate in on-call rotations for critical production support

Senior Product Support Engineer, L3

Solutions Engineer

• Collaborate with Account Executives to understand customer requirements and develop customized technical solutions
• Drive compelling demos and impactful Proof of Values (PoVs) to effectively showcase the value of the CodeRabbit platform
• Stay abreast with industry trends and emerging technologies in AI-powered development tools

Velocity Solutions Engineer

Data Engineer

• Build and own CodeRabbit’s end-to-end data stack, from ingestion to analytics
• Design and maintain scalable pipelines for product, marketing, sales, and customer data
• Partner closely with Engineering to support product analytics, experimentation, and feature measurement
• Enable Marketing with attribution, funnel analysis, and growth insights
• Support Sales and Revenue teams with pipeline, forecasting, and customer lifecycle reporting
• Define and document core business metrics so everyone is aligned on “what good looks like”
• Establish best practices for data quality, testing, and reliability in a fast-moving environment
• Make pragmatic tool choices and iterate as the company scales

DevOps Engineer

• 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
• Develop self-service platforms and tooling that empower engineering teams to deploy, monitor, and troubleshoot their services independently
• Integrate security best practices into all infrastructure and platform services
• Establish and maintain disaster recovery procedures and business continuity planning

Site Reliability Engineer – Platform

QA Engineer

• Own quality across complex cloud-native and AI-driven systems
• Partner with engineering, data, and DevOps teams to embed automation into every layer of the stack
• Architect and maintain end-to-end automation strategies for APIs, microservices, and data pipelines
• Develop test frameworks for cloud-native systems and distributed services
• Validate data integrity across databases, streams, and analytics platforms
• Integrate automated tests into CI/CD and deployment workflows
• Mentor engineers and champion automation best practices
• Analyze production issues and help prevent regressions

Quality Assurance Engineer – Automation

• Design, implement, and maintain scalable CI/CD pipelines
• Develop and manage infrastructure as code (e.g., Terraform, Pulumi)
• Improve system reliability through monitoring, alerting, logging, and failover strategies
• Work with platform and backend teams to identify and resolve performance bottlenecks
• Contribute to deployment workflows, environment automation, and developer tooling
• Ensure infrastructure security and compliance practices are in place

Security Engineer

• Own the security roadmap — craft and execute a strategic security engineering plan that aligns with CodeRabbit’s fast-paced engineering cadence.
• Boost resilience — champion defense-in-depth tactics: threat modeling, secure design reviews, hardening, CI/CD integration.
• Be Incident Commander — spearhead security incident response and recovery: triage, resolve, root cause, and turn those learnings into stronger systems.
• Tools & automation — build or integrate security tooling (SAST, DAST, SIEM, EDR, monitoring) into the developer workflow without slowing delivery.
• Embed security fluently — partner with engineering and product teams to bring secure practices early into planning and daily workflows.
• Talent & culture — help to hire, coach, and mentor a scrappy, resilient security engineering team; elevate security awareness across the company.
• Compliance & policy — establish security standards, frameworks, or processes that evolve as we scale—but remain lean and developer-friendly.

Lead Security Engineer

Backend Engineer

• Architect and build scalable backend services, APIs, and distributed systems
• Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents
• Guide junior engineers through mentorship and technical reviews
• Own architectural decisions in new product features
• Ensure reliability, performance, and security across systems
• Contribute to an engineering culture of speed, quality, and pragmatic innovation

Software Engineer – Backend

Frontend Engineer

• Develop, ship, and maintain user-facing features in React/TypeScript
• Translate Figma designs into robust, maintainable, production-quality code
• Work with product and design to define and refine frontend workflows
• Build and scale reusable components, layout systems, and design primitives
• Improve performance, accessibility, and responsiveness across the app
• Collaborate with backend and ML teams to integrate intelligent features
• Maintain frontend quality through testing, code reviews, and clean CI workflows

Senior Software Engineer – Frontend

Customer Success Manager

• Serve as the primary success partner for CodeRabbit customers, guiding them from onboarding through adoption and renewal.
• Understand each customer’s engineering goals, processes, and KPIs — from code review efficiency to pull-request throughput and quality metrics.
• Develop tailored success plans that align CodeRabbit’s capabilities with customer outcomes.
• Deliver engaging enablement sessions, workshops, and digital success programs to ensure ongoing value realization.
• Drive sustained platform adoption through proactive engagement, digital campaigns, and strategic check-ins.
• Identify opportunities for feature expansion, advanced AI integrations, and deeper usage across teams.
• Collaborate with Sales and Product to drive renewals and account expansion through clear success narratives and data-backed outcomes.
• Act as the voice of the customer across Product, Engineering, and Support teams to ensure user needs inform roadmap priorities.
• Provide structured feedback to improve user experience, documentation, and onboarding workflows.
• Partner with Marketing to contribute customer stories, success metrics, and thought leadership around developer productivity.