3 дня назад
Director - Harness Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director - Harness Engineering (AI): Building the engineering environment that enables AI coding agents to produce reliable, maintainable, and production-grade software with an accent on guardrails, feedback loops, governance, and quality automation. Focus on designing agent orchestration controls, LLM testing infrastructure, observability, and distributed engineering leadership.
Location: Remote from the United Kingdom
Company
is a global analytics software company that helps businesses use data, artificial intelligence, and optimization to make better decisions.
What you will do
- Design, build, and evolve the harness components that guide AI coding agents toward production-grade engineering output.
- Create agent instructions, reusable skills, architectural rules, reference documentation, codemods, linters, fitness tests, verification loops, and LLM-based reviewers.
- Own regional AI governance, quality gates, testing infrastructure, security controls, and authority boundaries for agent-generated changes.
- Define observability and performance metrics for agent-assisted development, including merge time, review velocity, defect escape rate, and PR survival.
- Manage, coach, and grow a geographically distributed team of harness engineers while setting goals and quality standards.
- Partner with engineering and product leaders to convert specifications and acceptance criteria into enforceable controls.
Requirements
- Bachelor’s or master’s degree in computer science or a related discipline, or equivalent commercial experience.
- Strong hands-on software engineering experience across large, complex codebases, including architecture, testing, and maintainability.
- Practical experience with AI coding agents such as Claude Code, Codex, or similar tools.
- Experience with engineering tooling, static analysis, CI/CD, containerized build and test environments, instrumentation, and observability.
- Knowledge of spec-driven development, context engineering, agent orchestration, fitness functions, developer platforms, and AGENTS.md conventions.
- Experience leading distributed engineering teams and establishing AI governance, security guardrails, quality standards, and LLM testing infrastructure.
Culture & Benefits
- Inclusive, people-first environment guided by ownership, customer focus, and mutual respect.
- Professional development through learning experiences and opportunities to use individual strengths.
- Competitive compensation, benefits, and rewards programs.
- Work-life balance, employee resource groups, and social events.
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