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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, acting as 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 as top priorities.
Responsibilities
- Build and maintain backend services in Python (FastAPI, Pydantic) to orchestrate scientific workflows.
- Develop data pipelines that convert raw experimental output into actionable signals.
- Create internal dashboards and interfaces (React, TypeScript, Tailwind, Streamlit) for daily use by scientists and engineers.
- Maintain containerized environments and CI/CD pipelines for smooth system operation.
- Improve observability to enable proactive understanding of system state.
- Drive reliability improvements based on real failure modes and production experience.
- Support job orchestration and ML systems, including integration with SLURM-based simulation clusters.
- Treat infrastructure as a product impacting scientific productivity and discovery outcomes.
Requirements
- 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.
- English fluency.
Skills
- Python
- FastAPI
- Pydantic
- React
- TypeScript
- Tailwind
- Streamlit
- Docker
- Kubernetes
- CI/CD
- SLURM
- Observability
- Monitoring
- Reliability
Location
- Berlin, Germany
Work Type
- Full-time
- On-site
Experience Level
- 2-5 years
Benefits
- Equity participation
About the Company
- The company is an early-stage, seed-funded AI-driven materials discovery platform operating in the cleantech and deep science space.
- The team consists of researchers, engineers, and roboticists working toward dramatically accelerating R&D timelines in the energy and manufacturing sectors.