Cloud & Infrastructure Engineer

You will own the infrastructure that our EO analytics, modelling, and AI pipelines run on. This is a hands-on role with real architectural ownership at a small technical team where you’ll be building the foundation, not maintaining someone else’s.

This position is contingent on the finalisation of an upcoming ESA contract, whose deliverables involve close collaboration with the contract’s stakeholders.

What You’ll Work On

• Evaluating and implementing our compute strategy: cloud vs. on-prem/dedicated servers for compute-intensive model training and EO processing

• Designing and maintaining CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code

• Setting up scalable storage for large geospatial datasets (COG, Zarr, STAC-based catalogues)

• Cost modelling and optimisation across our tech stack

• Supporting a small, mixed team of freelancers, interns, and researchers with reliable dev/compute environments

Required:

• Solid experience with cloud infrastructure and infrastructure-as-code

• Experience with Docker and container orchestration (Kubernetes or similar)

• Comfortable with cost modelling and making pragmatic build-vs-buy tradeoffs

• Strong Linux/bash skills and Git-based workflows

• Ability to work independently and make sound architectural calls with limited oversight

Nice to have:

• Experience with GPU/HPC infrastructure for ML model training

• Familiarity with geospatial data formats and workloads (large raster/NetCDF datasets, cloud-optimised formats)

• Experience setting up infrastructure for a small startup or research team (not just maintaining an existing enterprise setup)

• Exposure to openEO, CDSE, or similar EO-specific cloud platforms

We’re open to a range of seniority here, what matters most is sound judgement and the ability to make good infrastructure decisions independently, not a specific number of years.

• Real architectural ownership: you’ll be defining our infrastructure strategy from a fairly early stage, not inheriting a fixed setup

• Direct collaboration with the technical founder

• Flat hierarchy and fast decision-making

• Opportunities to participate in AgriFood- and space-related events (e.g. Space Tech Expo Europe, EU Carbon Farming Summit, Agritechnica, etc.), nationally and internationally

• Based in Bremen, part of the ESA BIC Northern Germany community

• Salary range: €65-85k gross/year depending on seniority

Sounds Like You?

Send a short introduction and your CV to [jobs@cinsoil.eu]. Please write the cover letter yourself, and tell us briefly what you’ve worked on and what interests you about this role.

A typical selection process includes an initial screening followed by two interviews to assess candidates’ qualifications, experience, and suitability for the role.

Gehalt: 65.000,00€ - 85.000,00€ pro Jahr

CinSOIL is a deeptech startup developing data-driven tools for soil carbon monitoring and carbon farming. We combine satellite Earth Observation, process-based modelling, and AI to deliver credible, scalable solutions for carbon certification and regenerative agriculture. Our stack is Python-first, cloud-native, and built on in-house data and algorithms infrastructure.

By joining CinSOIL, you will join a collaborative, curious, and mission-driven team that combines scientific expertise, engineering, and entrepreneurial thinking. We believe that solving complex challenges in soil and climate requires not only strong technical skills, but also open communication, diverse perspectives, and a willingness to learn from each other. We are united by the ambition to build technology that creates real impact for climate and regenerative agriculture. We value ownership, trust, and a pragmatic, hands-on spirit - and we enjoy working together, sharing ideas, and tackling difficult problems as a team.

We are based in Berlin and Bremen. In Bremen we are part of ESA BIC Northern Germany, and this position is based in Bremen.