Own the generation, quality, and reliability of backend code produced through AI-assisted development workflows.
Define and maintain clear acceptance criteria and test cases prior to implementation, ensuring a strict test-driven development approach.
Review, refine, and approve AI-generated backend code to ensure it meets functional, performance, and reliability requirements.
Provide structured guidance and constraints to AI systems so generated code aligns with established backend architecture, data models, and service patterns.
Write code as necessary to fill in gaps and bridge the last mile.
Ensure backend implementations handle edge cases, error conditions, and failure scenarios correctly.
Act as the final quality checkpoint for backend code prior to merge or deployment.
Collaborate with product, front-end, and QA partners to translate requirements into precise, testable backend behavior.
Maintain high standards for data integrity, security, and system observability.

Senior-level experience designing, building, and maintaining backend systems in production environments.
Strong experience practicing test-driven development, including defining and maintaining clear, meaningful test cases.
Proven ability to evaluate backend code for quality, maintainability, performance, and operational safety.
Hands-on experience using AI-assisted development tools, with an understanding of their strengths and limitations in backend contexts.
Experience working with modern backend technologies (e.g., TypeScript, Python, Postgres, Google Firestore, React and Storybook, API design).
Strong understanding of data modeling, transactional integrity, and error handling.
Ability to translate product requirements into precise, testable backend specifications.
Strong written communication skills and comfort providing clear, structured guidance to AI systems and engineering peers.
High attention to detail and a demonstrated bias toward correctness and reliability over speed.

Back-End Software Engineer

Key skills