Apply your engineering skills to combat global warming and become part of the global movement for climate action.
Seqana is a start-up building digital monitoring, reporting, and verification (MRV) tools using remote sensing and AI to drive soil carbon sequestration and support the transition towards regenerative, climate-preserving agriculture at scale. We are backed by venture capital investors and supported by public funding from ESA and DLR.
Capturing carbon in soils through regenerative agricultural practices is a powerful and still underutilized solution to climate change, with significant co-benefits including improved soil health, water quality, food security, and biodiversity.
Existing MRV solutions for soil carbon are a major driver of cost and complexity in carbon projects and often limit scalability. At Seqana, we combine satellite imagery, an extensive proprietary library of soil datasets, and machine learning to deliver an accurate, cost-effective, and scalable MRV solution for soil organic carbon. Our product enables project developers, agrifood corporations, NGOs, and government entities to credibly measure, quantify, and report the climate impact of regenerative agricultural practices.
Our growing team is looking for an experienced and motivated software engineer (mid-level or senior) to help us scale our technical infrastructure and analytical products for soil carbon quantification. This role builds on and expands our ML and geospatial systems, taking ownership of core ML workflows and pipelines, while also supporting the evolution of our backend and cloud infrastructure. We're looking for someone with strong software engineering skills, a background in ML- and data-intensive systems, and an interest in geospatial or environmental data. We value proactivity, authenticity, empathy and solution mindset in our company culture.
Perk: 500,00 € training budget to use for your professional self-improvment, flexible and hybrid work environment
Type of Employment: Full-time, unlimited contract
Contribute to the development of our geospatial data infrastructure, extending our capacity to store and process vector files, as well as high-resolution raster datasets
Own and improve our CI/CD and testing strategy, supporting integration tests, dependency upgrades, and stronger release hygiene
Support with further development of our GCP infrastructure, adapting our architecture, monitoring and access management to evolving needs
A degree in Software Engineering, Computer Science, or a related field, with strong foundational knowledge in software development
~3+ years (mid-level) or 5+ years (senior) of experience in engineering roles building backend applications and pipelines for data- or ML-intensive systems
~ Full proficiency in Python, solid knowledge of SQL, and working knowledge of orchestration tools such as Airflow
~ Experience with production ML systems, including training and evaluation pipelines, and collaboration with data scientists
~ Strong experience in software development lifecycle and operations (version control, testing, CI/CD)
~ Experience working with raster data and/or geospatial pipelines in production environments
Previous exposure to earth observation, environmental monitoring or soil science data
Benefits
Be part of our highly motivated, committed, and international team with flat hierarchies that is working on solving one of societies’ biggest challenges: Work in a casual environment with flexible hours and some ability to work from home
Competitive salary, benefits, and compensation package
Drinks, snacks, team events, and your choice of hardware