Software Engineer, Infrastructure

About the RoleWe're a seed-stage deeptech startup accelerating the discovery of new materials through physics-informed AI, robotics, and real-world experimental data — with a focus on the energy sector and other critical industries. Our software is the coordination layer between scientific intent and physical execution, and we treat infrastructure as a first-class product. As a Software Engineer, Infrastructure, you'll build and maintain the systems that connect AI models, automated experiments, and robotic platforms. Your work directly shapes scientific outcomes — reliability, observability, and usability aren't afterthoughts here, they're core product priorities. This is an on-site role based in Berlin, Germany. Please note: visa sponsorship is not available for this position. What You'll Do• Build 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 notice problems. • Drive reliability improvements grounded in real failure modes and production experience. • Support job orchestration and ML systems, including integration with SLURM-based simulation clusters. • Collaborate closely with cross-functional teams of scientists and engineers. What We're Looking ForRequired: • 2–5 years of software engineering experience with solid Python fundamentals. • Experience with containerized applications and foundational DevOps practices (CI/CD, Docker, etc.). • Comfort working across the stack and a willingness to dig into unfamiliar territory. • Excellent written and verbal communication skills — you'll work daily with both scientists and engineer