Senior Software Engineer - Dev

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.

What you'll do

• 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.
• 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.
• 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.

What you'll need

• Experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling.
• Practical experience building, deploying, or operating AI-assisted or agentic software development workflows.
• Strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity.
• Comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration.
• Deep understanding of GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk.
• Strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review.
• Ability to design benchmarks, quality signals, failure-mode tracking, and adoption metrics.
• Strong written communication skills and credibility to influence across Platform, Product Engineering, AI, Security, and Architecture.

Nice to have

• Experience working in a large TypeScript, Node.js, or JavaScript monorepo.
• Experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms.
• Experience with sandboxing, secrets management, least-privilege access, or sensitive code ownership.
• Created evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems.
• Experience contributing to open-source or source-available projects with active developer communities.

What they offer

• Remote-first team with high autonomy and visibility
• Opportunity to shape platform foundations, safety model, and evaluation framework for AI agents in production engineering
• Visa sponsorship available to Germany