Backend Engineer (AI-Powered Code Review)

CodeRabbit

San Francisco (CA)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive Compensation
Professional Growth Opportunities
Hybrid Work Culture

Job summary

CodeRabbit is seeking a Software Engineer in San Francisco to develop advanced applied AI systems for code review processes. As a key contributor, you will architect and build scalable backend services and collaborate with ML engineers. Ideal candidates should have 3-5 years of experience, proficiency in TypeScript and Node.js, and a strong understanding of backend systems. The role offers a hybrid work culture and competitive compensation, emphasizing real ownership and professional growth.

Qualifications

  • Degree in Computer Science, Engineering, AI, or equivalent practical experience.
  • 3-5 years building backend systems and distributed infrastructure.
  • Strong understanding of software engineering best practices.

Responsibilities

  • Architect and build scalable backend services, APIs, and distributed systems.
  • Collaborate with ML engineers to integrate models into systems.
  • Guide junior engineers through mentorship.

Skills

Fluency in TypeScript
Fluency in Node.js
Experience with microservices
Experience with async job queues
Experience with event-driven architectures
Familiarity with AWS/GCP
Familiarity with Docker
Familiarity with Kubernetes
Familiarity with CI/CD pipelines
Strong understanding of software engineering best practices

Education

Degree in Computer Science or related field

Job description

CodeRabbit is seeking a Software Engineer in San Francisco to develop advanced applied AI systems for code review processes. As a key contributor, you will architect and build scalable backend services and collaborate with ML engineers. Ideal candidates should have 3-5 years of experience, proficiency in TypeScript and Node.js, and a strong understanding of backend systems. The role offers a hybrid work culture and competitive compensation, emphasizing real ownership and professional growth.
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