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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - DevX - **Company:** n8n - **Location:** Spain - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Automation of Tests, Code Review, Continuous Integration, Programming Tools, Github, Issue Tracking Systems, Key Management, Node.Js, Open Source Technology, Software Engineering, Strategies of Testing, TypeScript, Data Processing, Multi-Agent Systems, Integration Frameworks - **Published:** September 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5bc330c595c51c66 ## About the Role * Autonomous coding agents: You have experience with autonomous coding agents, AI coding platforms, agent orchestration systems, or internal AI developer tooling. * Agentic development experience: You have practical experience building, deploying, or operating AI-assisted or agentic software development workflows that work with developers not besides them. * Strong engineering foundations: You have a strong software engineering background, ideally in platform engineering, developer experience, infrastructure, tooling, CI/CD, or engineering productivity. * Ambiguity leadership: You're comfortable leading a first-of-a-kind technical initiative from problem definition through pilot, adoption, measurement, and iteration. * Modern engineering workflows: You deeply understand GitHub, CI, testing strategies, code review, monorepos, issue tracking, developer environments, and release risk. * Safety-first judgment: You have strong judgment around permissions, secrets, sandboxing, sensitive code paths, and human-in-the-loop review. * Measurable systems thinking: You know how to design benchmarks, quality signals, failure-mode tracking, and adoption metrics. * Clear written communication: You're strong at writing repo instructions, playbooks, PR evidence templates, technical proposals, and alignment documents. * Cross-functional influence: You have credibility with senior engineers and can influence across Platform, Product Engineering, AI, Security, and Architecture without formal authority., * Security-aware platform engineering: You have worked on sandboxing, secrets management, least-privilege access, or sensitive code ownership. * AI evaluation: You have created evaluation frameworks, benchmarks, or quality metrics for AI-generated code or automation systems. * Open-source communities: You have experience contributing to open-source or source-available projects with active developer communities. * B2B SaaS context: You understand environments where reliability, permissions, data handling, and customer trust are central. * Workflow automation: You're familiar with workflow automation, integration platforms, AI orchestration, or developer-facing products. ## Description * 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., * Developer platforms: You have experience with GitHub Actions, Linear, automated testing infrastructure, preview environments, or internal developer platforms., At n8n, you'll help define how autonomous AI agents become a trusted part of engineering inside one of Europe's fastest-growing AI-native infrastructure companies. Your work will shape the platform foundations, safety model, evaluation framework, and developer workflows that determine whether agents can contribute meaningfully to production engineering without lowering the quality bar. You'll join a remote-first team with high autonomy, high visibility, and a strong builder mindset. Because this is a first-of-a-kind role, you'll have the opportunity to set direction, influence engineering culture, and create learnings that may inform both internal engineering productivity and n8n's external product thinking. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [AI Won't Fix Your Engineering Culture](https://www.wearedevelopers.com/videos/100266-ai-won-t-fix-your-engineering-culture) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)