Senior Software Engineer - DevX

The AI orchestration of your wildest imagination.

n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.

Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin.

🎯 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.

Build the Paved Road for Agentic Development

• 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.

Make n8n’s Monorepo Agent-Ready

• 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 Agents into Engineering Workflows

• 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.

Measure Quality, Safety, and Adoption

• 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.

Requirements

Must-haves

• Autonomous coding agents: Experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling.
• Agentic development experience: Practical experience building, deploying, or operating AI-assisted or agentic software development workflows.
• Strong engineering foundations: Strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity.
• Ambiguity leadership: Comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration.
• Modern engineering workflows: Deep understanding of GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk.
• Safety-first judgment: Strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review.
• Measurable systems thinking: Know how to design benchmarks, quality signals, failure-mode tracking, and adoption metrics.
• Clear written communication: Strong at writing repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents.
• Cross-functional influence: Credibility with senior engineers and ability to influence across Platform, Product Engineering, AI, Security, and Architecture.

Nice-to-haves

• Experience with TypeScript, Node.js, or JavaScript monorepos.
• Familiarity with developer platforms, GitHub Actions, Linear, and automated testing infrastructure.
• Security-aware platform engineering background.
• Experience creating AI evaluation frameworks or benchmarks.
• Open-source or B2B SaaS context experience.