Software Engineer, Infrastructure

Über diese Stelle

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.