Staff Core Platform Engineer

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. Along the way, we’ve:

• Cultivated a community of more than 650,000 active developers and builders
• Earned 190K+ Git Hub stars, making us one of the world’s Top 40 most popular projects
• Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation

We’re in a defining moment of an incredible journey. Come and build with us.

Your main goal will be to shape and evolve the core platform architecture that powers n8n — creating scalable, configurable foundations across execution, infrastructure, and frontend platform so 80+ product engineers and our open-source community can build confidently across cloud and self-hosted deployments.

Working across our platform teams, you’ll bring architectural coherence to the systems they jointly own and help us make the right long-term technical decisions as n8n scales:

• Drive architecture across the two Core Platform teams, ensuring execution, infrastructure, data, and frontend platform systems evolve as a coherent whole rather than independent components.
• Design highly adaptable backend foundations that support different workloads, deployment models, shared product team needs, and future scale without creating unnecessary complexity.
• Partner with the FE platform workstream on core canvas architecture, real-time communication, performance, plugin contracts, and other platform primitives used by product teams.

• Evolve core subsystems including durable workflow execution and state, orchestration, queue and task distribution, worker management, scheduling, and horizontal scaling.
• Design for correctness and resilience across distributed environments, including failure modes, idempotency, state transitions, tenant isolation, and reliability guarantees.
• Shape our data and persistence architecture, including database scaling, sharding, migration strategies, deployment abstractions, and long-term operational maintainability.

• Lead consequential technical decisions through clear proposals and RFCs, making trade-offs explicit and aligning engineers and stakeholders around durable solutions.
• Define stable platform interfaces and abstractions that reduce coupling, support safe migrations, and make the platform easier for feature teams to build on.
• Mentor engineers across all engineering teams through design reviews, pairing, and technical guidance, raising the bar for architecture, system design, and maintainability.

• Staff-level architectural ownership: You have a track record of leading architecture across multiple systems or teams, including migrations, re-architectures, or foundational platform initiatives with long-term organizational impact.
• Systems thinking: You reason deeply about in variants, correctness, failure modes, boundaries, and trade-offs, and you’re comfortable making decisions where there is no obviously perfect solution.
• Configurable systems at scale: You’ve designed highly configurable, adaptable systems that serve multiple use cases or operating modes without becoming brittle or excessively complex.
• Distributed systems depth: You’ve designed and operated distributed systems involving concepts such as asynchronous processing, idempotency, state machines, queues, consistency, and resilience.
• Data architecture at scale: You’ve worked on data-intensive systems where persistence, performance, isolation, migrations, and operational reliability were meaningful…