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Linro is a cloud security company building a real-time, agentic cloud-security platform. We ship with AI and build guardrails for AI tools. We are fully remote across Europe and founded in Berlin in 2026.
You would join as one of the first engineers, owning large parts of a stream-first policy engine that evaluates compliance across past, present and future infrastructure state. You will design, ship, and run core backend services in Go and collaborate with the founding team.
Linro is a cloud security company building a real-time, agentic cloud-security platform. Teams ship with AI. AI ships with Linro.
Cloud infrastructure changes constantly, and increasingly it's AI agents making those changes, not people. Most security tools only catch problems after the fact. Linro works differently. We enforce what's allowed at every stage, from commit to production. We stop bad changes before they ship, and fix problems in real time once they're live.
We have each been on the receiving end of this problem: running cloud security at scale, building the platforms underneath it, and shipping in regulated systems where a wrong change isn't an option. Founded in Berlin in 2026 and built fully remote across Europe, Linro has a platform that's real and working, with plenty still to shape.
You would be one of our first engineers, building alongside the founding team. At the heart of the product is a stream-first policy engine that evaluates compliance as SQL across past, present and future infrastructure state. It has to be fast, correct and impossible to route around. You'd own large parts of it outright.
We are remote across Europe and hire anywhere within roughly two hours of Central European Time (CEST). We get the whole team together in person somewhere in Europe once a quarter for a few days. We work async by default, write things down, and protect people's focus time.
This is early. Priorities will shift, and some of what you build early will change as we learn. There is no playbook waiting for you. If you want a highly structured environment with a mature codebase and a clear roadmap for the next two years, this is not it. If you want to shape a product and a category from close to the start, and you like the idea of building the thing that keeps AI agents from breaking production, we should talk.