Software Backend Engineer

About the jobSpaceSense is now part of xFarm, as their Geospatial entity.
xFarm Technologies is a European tech company focused on the digitalisation of the agri-food sector, providing innovative tools that can support farmers and stakeholders in the management of their businesses.The company offers digital solutions such as apps for farm management, connected sensors, support in digital transformation projects, algorithms applied to agriculture and training activities for the whole sector.xFarm Technologies supports the work of 450,000+ farms belonging to more than 100 supply chains on 7 million hectares in more than 100 countries worldwide.Join us at xFarm Technologies and be a part of the digital transformation in agriculture, contributing to a sustainable future!The GeospatialAI team, in charge of building AI models on top of satellite imagery inside xFarm products is looking for a Software Backend Engineer.
You will be responsible for designing and implementing backend services that ingest, process, and serve satellite data, power geospatial analytics, and support machine learning pipelines.
You'll work closely with the Front-End team and Data Science team to build APIs and microservices that scale to handle vast amounts of geospatial data.Key ResponsibilitiesBuild and Maintain Microservices:
Design, implement, and deploy Geospatial based APIsData Pipeline Development:
Develop ingestion and preprocessing pipelines for satellite data (downloading, indexing, storing, and converting to appropriate geospatial formats).Database & Storage Management:
Work with geospatial databases (PostGIS, BigQuery GIS) and cloud object storage (GCP Cloud Storage, AWS S3) to handle large-scale data sets efficiently.Performance & Scalability:
Optimize system performance to handle continent-level coverage, large volumes of imagery, and time-series analyses.Collaboration & Code Quality:
Work in cross-functional teams (Front-End, ML, DevOps, Product) using Agile methodologies.
Write clean, modular, testable code, and participate in code reviews.Minimum QualificationsProven experience (5+ years) as a backend engineer or cloud engineer or similar roleProficient in our core languages :
Python (FastAPI or Flask), SQL (PostgreSQL, BigQuery)Demonstrated experience with cloud platforms (mainly GCP, AWS is a plus), containerization (Docker), and possibly serverless componentSolid knowledge of RESTful API design and best practices (versioning, rate limiting, authentication).Solid knowledge of relational databases (PostgreSQL) and ideally PostGIS or another geospatial database.Experience with CI/CD pipelines, TDD/automated testing, and best DevOps practices.Proficiency in English (written and oral) to communicate effectively in an international team.Preferred QualificationsExperience with geospatial data processing ( Xarray, Rasterio, STAC, Geopandas, Dask, GDAL)Experience working on complex system at large scaleExperience in optimizing data storage and distributed computationExperience building ML data pipelines for training and inferenceFamiliarity with big data analytics frameworks (Apache Beam, Spark) and/or BigQuerySoft SkillsTeam player, you thrive in a collaborative environment and work well with others to achieve shared goals.Excellent communication and collaborative skills; comfortable working with data scientists, DevOps, and front-end engineers.Problem-solving mindset:
you can diagnose bottlenecks in geospatial workflows and propose effective solutions.Ownership & Autonomy:
capable of driving features from design to production with minimal oversight.What We OfferCutting-edge tech:
Work with modern cloud-native stacks, geospatial data at scale, and advanced ML pipelines.Work in an international context:
Collaborate with colleagues and partners from around the globe.Be part of a fast-growing company:
Join a team that's rapidly scaling its impact in the ag-tech industry.Work in ag tech:
Contribute to innovative solutions that are transforming agriculture using cutting-edge technology.Flexible environment:
Enjoy a collaborative and innovative workplace where creativity and continuous improvement are valued.