Senior Harness Engineer

This is a fully remote position, open to applicants in Bulgaria.

📋 Description

• Design, create, deploy, and maintain essential harness components, including guides, feedback loops, guardrails, and shared context.

• Take ownership of and enhance feedforward guides, agent instruction files, reusable skills, architectural guidelines, reference documents, and codemods.

• Lead team-wide standardization for engineering output generated by agents.

• Develop feedback mechanisms such as custom linters, static analysis tools, structural and architecture fitness tests, verification loops, and LLM-as-judge reviewers.

• Manage quality gating and release criteria for work produced by agents.

• Establish authority boundaries for unaided agent merges and define escalation protocols for human review.

• Set up LLM testing infrastructure and evaluation methods for assessing the quality and safety of AI-generated outputs.

• Implement consumer/contract testing where reliability of service integration is crucial.

• Operate the steering loop to avoid recurrent agent errors and keep repository knowledge as the definitive system of record.

• Determine where controls are applied along the path to production, encompassing pre-commit, post-integration, and continuous drift monitoring.

• Enhance visibility into agent activities and monitor metrics such as cost per merged PR, time-to-merge, review velocity, defect escape rate, and agent-PR survival rate.

• Collaborate with product and platform teams to convert specifications and acceptance criteria into actionable controls.

• Function as a technical expert and mentor engineers on harness practices and responsible use of AI tools.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science or related fields, or equivalent commercial experience in software architecture, design, development, and testing.

• Experienced software engineer with a background in managing large and complex codebases.

• Solid foundation in architecture and design principles.

• Practical experience with AI coding agents (e.g., Claude Code, Codex, or similar technologies).

• Proven track record in building engineering tools across a modern stack, including linters and static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability.

• Familiarity with agent instruction conventions such as AGENTS.md.

• Experience in spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform interactions.

• Capability to encode engineering standards into systematic, repeatable rules.

• Understanding of the distinctions between deterministic computational controls and inferential LLM-based controls, along with their respective cost, speed, and reliability trade-offs.

• Experience managing quality-gating processes and establishing release criteria.

• Working knowledge of autonomous-agent security considerations, including prompt injection, tool/permission scoping, sandboxed execution, audit trails, and least-privilege guardrails.

• Familiarity with consumer/contract testing methodologies such as Pact.

• Exceptional communication skills with the ability to articulate designs to architects and promote standards across teams.

🏝️ Benefits

• Highly competitive compensation, benefits, and rewards programs.

• Work/life balance.

• Employee resource groups.

• Social events.

• Learning experiences and professional development opportunities.

• Inclusive, people-first work environment.