Software Engineer, Infrastructure

About the Role 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. 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&D timelines in the energy and manufacturing sectors. What You'll Do • Build and maintain backend services in Python (FastAPI, Pydantic) to orchestrate real scientific workflows. • Develop data pipelines that convert raw experimental output into actionable signals. • Create internal dashboards and interfaces ( React, TypeScript, Tailwind, Streamlit ) used daily by scientists and engineers. • Maintain containerized environments and CI/CD pipelines to keep systems running smoothly. • Improve observability so teams understand system state proactively — before users report issues. • Drive reliability improvements grounded in real failure modes and production experience. • Support job orchestration and ML systems, including integration with SLURM-based simulation clusters . • Treat infrastructure as a product that directly affects scientific productivity and discovery outcomes. What We're Looking For Required: • 2–5 years of software engineering experience with strong Python fundamentals. • Practical experience building backend services, preferably with FastAPI and Pydantic . • Experience with containerized applications and DevOps practices ( Docker, Kubernetes, CI/CD ). • Ability to build and maintain data pipelines transforming raw experimental or data-intensive outputs. • Experience building dashboards and interfaces for technical or scientific users (React, TypeScript, Tailwind, or Streamlit). • Familiarity with SLURM-based job orchestration or HPC/simulation cluster integration. • Strong emphasis on observability, monitoring, and production-grade reliability. • Clear, direct communication skills and a habit of writing clean, maintainable code. • Authorization to work in Germany without visa sponsorship (sponsorship is not available). • English fluency; additional languages are a plus. Nice to Have: • Exposure to scientific computing, ML infrastructure, or data-intensive systems. • Comfort working across the full stack and willingness to dig into unfamiliar territory. • Background in or familiarity with chemistry, materials science, or life sciences environments. Location This is a full-time, on-site role based in Berlin, Germany . Candidates must be based in or willing to relocate to Berlin. Visa sponsorship is not available — applicants must have existing authorization to work in Germany. Compensation & Benefits 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.