Software Engineer, Infrastructure

jobr.pro; Berlin; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

jobr.pro in Berlin is seeking a seasoned infrastructure engineer to join a deeptech startup building an autonomous laboratory platform. You will shape reliability, observability, and usability to accelerate R&D in materials science.

You will develop Python backends (FastAPI, Pydantic), craft data pipelines, and build dashboards (React/TS/Tailwind/Streamlit). On-site Berlin role with no visa sponsorship, equity package typical for seed-stage startups.

Qualifikationen

• 2–5 years of software engineering experience with Python fundamentals.
• Backend services experience, 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 data.
• Experience building dashboards/interfaces for technical users (React, TypeScript, Tailwind, or Streamlit).
• Familiarity with SLURM-based job orchestration or HPC/simulation cluster integration.
• Strong emphasis on observability and production-grade reliability.
• Clear, direct communication and maintainable code.
• Authorization to work in Germany without visa sponsorship (sponsorship not available).
• English fluency; additional languages are a plus.

Aufgaben

• Build and maintain backend services in Python to orchestrate scientific workflows.
• Develop data pipelines that convert raw experimental output into actionable signals.
• Create internal dashboards and interfaces 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.
• Drive reliability improvements grounded in real production experiences.
• Support job orchestration and ML systems, including SLURM-based clusters.
• Treat infrastructure as a product that directly affects scientific productivity.

Jobbeschreibung

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.