Software Engineer – Enterprise Engineering

CodeRabbit

. Design, develop, and maintain features that help large organizations adopt and scale CodeRabbit across their engineering teams .

Posted 10/2/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining backend systems and APIs, with a strong focus on security, compliance, and performance. Proficient in collaborating with diverse teams to deliver scalable enterprise software solutions.

Highest-signal resume keywords

TypeScript/Node.js ProficiencyAPI Design and MaintenanceMicroservices ArchitectureAWS or GCP ExperienceRelational Database Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentDistributed SystemsAPI DevelopmentMicroservicesAsynchronous Job ProcessingEvent-Driven ArchitectureTesting and DebuggingVersion ControlSchema DesignStatic Analysis Tools

Soft Skills

Clear CommunicationCollaboration with StakeholdersMentoring Engineers

Tools & Technologies

DockerKubernetesCI/CD PipelinesPostgreSQLMySQL

Industry Keywords

SaaSEnterprise SoftwareCompliance RequirementsSecurity ControlsAI Integration

Tech Stack

Tools & technologies

AWSDistributed SystemsDockerGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesMicroservicesMySQLNode.jsPostgresTypeScriptGo

About the role

Key responsibilities & impact

Design, develop, and maintain features that help large organizations adopt and scale CodeRabbit across their engineering teams
Improve deployment, configuration, upgrades, and observability for self-hosted deployments
Build backend services, APIs, and distributed systems supporting demanding enterprise workloads
Implement security controls and compliance-related capabilities
Build and maintain integrations with customers’ existing developer tools and internal systems
Translate customer needs into technical requirements and support successful deployments
Troubleshoot complex production issues
Drive projects through design, implementation, testing, release, and ongoing operation
Contribute design and code reviews, mentor other engineers, and improve team practices and tooling
Collaborate with engineers, AI researchers, infrastructure specialists, and product partners to deliver secure, compliant, performant, and operationally controlled AI code review capabilities

Requirements

What you’ll need

4+ years of software engineering experience building and operating backend systems or distributed infrastructure in production
Experience ideally within SaaS or enterprise software
Strong proficiency in TypeScript/Node.js, Go, Java, or a comparable modern backend stack
Experience designing and maintaining APIs using REST, GraphQL, or similar approaches
Experience with microservices, asynchronous job processing, and event-driven architectures
Working knowledge of relational databases such as PostgreSQL or MySQL, including schema design and query performance
Experience with AWS or GCP, Docker, Kubernetes, CI/CD pipelines, and production observability
Strong engineering fundamentals across testing, code reviews, version control, debugging, and maintainable system design
Sound judgment balancing security, reliability, performance, developer experience, and delivery speed
Clear communication skills and ability to collaborate with customers and technical and nontechnical stakeholders
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Experience building self-hosted or customer-managed enterprise software
Familiarity with enterprise identity, access controls, audit logging, or compliance requirements
Experience integrating AI or LLM-based capabilities into production workflows
Experience with code search, code graphs, tree-sitter, or static analysis tools
Experience designing agent-based systems or products involving autonomous or task-driven agents
Contributions to open-source projects or developer communities

Benefits

Comp & perks

Equity
Hybrid work arrangement
Opportunity to work on AI-powered developer tools
Autonomy and ownership of projects and outcomes
Collaboration with engineers, AI researchers, infrastructure specialists, and product partners
Mentorship and contribution to engineering practices and tooling