Software Engineer, Infrastructure

<h3>About the Role</h3><p style="min-height:1.5em">Join a well-funded deeptech startup at the intersection of AI, robotics, and materials science. This infrastructure engineering role sits at the heart of an autonomous laboratory platform — the coordination layer between scientific intent and physical execution. Your work will directly shape how scientists and engineers discover new materials, with reliability, observability, and usability treated as first-class product priorities.</p><p style="min-height:1.5em">The company is an early-stage, seed-funded AI-driven materials discovery platform operating in the cleantech and deep science space, with a team of researchers, engineers, and roboticists working toward dramatically accelerating R&amp;D timelines in the energy and manufacturing sectors.</p><h3>What You'll Do</h3><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build and maintain backend services in <strong>Python (FastAPI, Pydantic)</strong> to orchestrate real scientific workflows.</p></li><li><p style="min-height:1.5em">Develop data pipelines that convert raw experimental output into actionable signals.</p></li><li><p style="min-height:1.5em">Create internal dashboards and interfaces (<strong>React, TypeScript, Tailwind, Streamlit</strong>) used daily by scientists and engineers.</p></li><li><p style="min-height:1.5em">Maintain containerized environments and <strong>CI/CD pipelines</strong> to keep systems running smoothly.</p></li><li><p style="min-height:1.5em">Improve observability so teams understand system state proactively — before users report issues.</p></li><li><p style="min-height:1.5em">Drive reliability improvements grounded in real failure modes and production experience.</p></li><li><p style="min-height:1.5em">Support job orchestration and ML systems, including integration with <strong>SLURM-based simulation clusters</strong>.</p></li><li><p style="min-height:1.5em">Treat infrastructure as a product that directly affects scientific productivity and discovery outcomes.</p></li></ul><h3>What We're Looking For</h3><p style="min-height:1.5em"><strong>Required:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">2–5 years of software engineering experience with strong Python fundamentals.</p></li><li><p style="min-height:1.5em">Practical experience building backend services, preferably with <strong>FastAPI and Pydantic</strong>.</p></li><li><p style="min-height:1.5em">Experience with containerized applications and DevOps practices (<strong>Docker, Kubernetes, CI/CD</strong>).</p></li><li><p style="min-height:1.5em">Ability to build and maintain data pipelines transforming raw experimental or data-intensive outputs.</p></li><li><p style="min-height:1.5em">Experience building dashboards and interfaces for technical or scientific users (React, TypeScript, Tailwind, or Streamlit).</p></li><li><p style="min-height:1.5em">Familiarity with <strong>SLURM-based job orchestration</strong> or HPC/simulation cluster integration.</p></li><li><p style="min-height:1.5em">Strong emphasis on observability, monitoring, and production-grade reliability.</p></li><li><p style="min-height:1.5em">Clear, direct communication skills and a habit of writing clean, maintainable code.</p></li><li><p style="min-height:1.5em">Authorization to work in <strong>Germany without visa sponsorship</strong> (sponsorship is not available).</p></li><li><p style="min-height:1.5em">English fluency; additional languages are a plus.</p></li></ul><p style="min-height:1.5em"><strong>Nice to Have:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Exposure to scientific computing, ML infrastructure, or data-intensive systems.</p></li><li><p style="min-height:1.5em">Comfort working across the full stack and willingness to dig into unfamiliar territory.</p></li><li><p style="min-height:1.5em">Background in or familiarity with chemistry, materials science, or life sciences environments.</p></li></ul><h3>Location</h3><p style="min-height:1.5em">This is a <strong>full-time, on-site role based in Berlin, Germany</strong>. Candidates must be based in or willing to relocate to Berlin. <strong>Visa sponsorship is not available</strong> — applicants must have existing authorization to work in Germany.</p><h3>Compensation &amp; Benefits</h3><p style="min-height:1.5em">Compensation details were not specified in this posting. You can expect a competitive package in line with early-stage deeptech startups at the seed stage, including equity participation.</p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>