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Job Description
Structured overview of role & requirementsAbout This Role
Own and evolve core subsystems of the Harness Engineering environment that enforce AI agent code quality through automated guides, feedback loops, and controls.
Design and implement quality gating, release criteria, and LLM testing infrastructure to ensure AI-generated code meets defined quality and safety standards.
Measure and improve observability metrics (cost per merged PR, defect escape rate, review velocity) to guide continuous investment and maintain production-grade engineering standards.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science or related field, or equivalent experience.
Experience building engineering tooling such as linters, static analysis, CI/CD pipelines, and observability systems.
Hands-on experience with AI coding agents (e.g., Claude Code, Codex) including building tooling or harnesses to improve their effectiveness.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in owning and evolving large-scale engineering environments prioritizing end-to-end quality enforcement over manual code review.
Strong systems mindset with ability to architect deterministic and inferential quality controls for AI-generated code in complex codebases.
Skilled at engaging cross-functional teams to translate specifications into enforceable engineering controls and drive standards adoption across teams.