Agentic Engineering Platform Engineer

Your main goal will be to keep n8n operating as an AI-native engineering organization where agents are embedded across the development cycle; helping teams plan, build, test, review, learn, and improve.

You’ll do this by maintaining and evolving the platform foundations, tools, guardrails, and team processes that make agentic development safe, measurable, and sustainable. Working with Developer Platform, Security, AI/Agents, Architecture, and product engineering teams, you’ll help teams continuously adopt what works from frontier AI and make success visible through faster feedback loops, better quality, stronger resilience, and more learning from what we ship:

• Define safe task categories for autonomous agents, including what they can attempt, what they should never touch, and where additional review is required.
• Design and implement isolated execution environments where agents can work without exposing secrets or accessing sensitive systems unnecessarily.
• Build pilot workflows that allow selected Linear issues to be picked up by agents, tested, and converted into useful draft PRs.
• Create and maintain repo instructions, agent playbooks, ownership metadata, coding guidelines, and documentation that improve agent performance.
• Continuously improve developer workflows, repo structure, testability, and documentation based on where agents succeed, fail, or create reviewer friction.
• Partner with Architecture and senior engineers to define boundaries, dependencies, and areas where agents need more context or tighter constraints.
• Integrate agentic workflows with Linear, GitHub, CI, test infrastructure, and developer review processes.
• Design PR evidence templates that help reviewers understand what changed, why, what tests ran, what risks remain, and where human judgment is needed.
• Partner with Security, AI/Agents, Developer Platform, and product engineering teams to define guardrails for sensitive areas like auth, billing, permissions, and data handling.
• Create benchmarks from real historical engineering tasks to evaluate agent output quality, failure modes, test pass rates, review burden, and production risk.
• Define quality signals and adoption metrics such as draft PR usefulness rate, reviewer acceptance rate, CI pass rate, rework rate, and developer satisfaction.
• Use data and feedback from pilot teams to improve agent workflows, reduce unsafe attempts, and build trust across engineering.

• You have experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling.
• You have practical experience building, deploying, or operating AI-assisted or agentic software development workflows that work with developers not besides them.
• You have a strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity.
• You’re comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration.
• You deeply understand GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk.
• You have strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review.
• You know how to design benchmarks, quality signals, failure-mode tracking, and adoption metrics.
• You’re strong at writing repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents.
• You have credibility with senior engineers and can influence across Platform, Product Engineering, AI, Security, and Architecture without formal authority.

Nice to have

• You have worked in a large TypeScript, Node.js, or JavaScript monorepo.
• You have experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms.
• You have worked on sandboxing, secrets management, least-privilege access, or sensitive code ownership.
• You have created evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems.
• You have experience contributing to open-source or source-available projects with active developer communities.
• You understand environments where reliability, permissions, data handling, and customer trust are central.
• You’re familiar with workflow automation, integration platforms, AI orchestration, or developer-facing products.

• We offer fair and attractive pay.
• Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
• Europe: 30 days of vacation, plus public holidays wherever you are.
• US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
• Europe: We provide benefits according to local country norms.
• US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
• Europe: We provide pension contributions according to local country norms.
• US: 401(k) retirement plan with a 4% employer match.
• Europe: We provide benefits according to local country norms.
• US:Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
• We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
• We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
• Our team works remotely across Europe, with regular off-sites for team bonding.
• We're big fans of open source, and you'll get $100 per month to support projects you care about.
• We all know what everyone’s working on, how the company is doing—the whole shebang.