linro - Backend Engineer - Remote Germany
Requirements
• Strong backend engineering experience in a compiled, statically typed language (Go, Rust, Java, C++, C#, or similar). We build in Go, so you are either already a Go engineer or someone who will get into it quickly. • You know SQL well and think naturally in relational and columnar data models. It’s central to how our engine works. • A product mindset. You care about the user and the problem, not only the ticket, and you have opinions about what to build, not just how. • A problem-to-solution instinct. You can take an ambiguous problem, find the simple core, and ship something that solves it. • End-to-end ownership. You own a problem from design through production and operation, and you see the hard parts through. • Hands-on experience operating and running at least one major cloud (AWS, GCP or Azure). Not just deploying to it, actually running it: access management, networking or the failure modes. • Hands-on with Terraform or Pulumi, and an understanding of how infrastructure-as-code actually behaves in practice. • You build with AI coding tools as a normal part of your workflow and have a point of view on where they help and where they don't. We build guardrails for these tools, so we want engineers with deep, hands-on experience in agentic development. • Background in cloud or cyber security, CSPM, CNAPP, or compliance (e.g. SOC 2, PCI, ISO 27001, GDPR). • Experience building policy or rule engines. • Experience with high-availability, scaling, and eventually-consistent, event-driven system design. • Production experience running Kubernetes clusters. • Early-stage startup experience, or having been a founding engineer before. • We are 100% 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.
Responsibilities
• Design and build core backend services in Go that evaluate policy against cloud infrastructure changes in real time. • Take a core area of the platform and own it end to end, from first design through running it in production. • Build the simulation and enforcement path that blocks or auto-remediates non-compliant changes before they reach production. • Stay close to customers, see how your work lands in the real world, and fold what you learn back into the product.
Benefits
• Real ownership. As an early engineer you design, ship, run and own a genuine surface area of the product, with direct contact with users and a say in how we build. • Meaningful equity. You are an early employee, and your stake reflects it. • Competitive salary, benchmarked to the market. • A quarterly European offsite, and a team that takes both the mission and each other’s time seriously. • THE HONEST VERSION • 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.
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