Backend Lead (Python/GIS)

Gilytics is a Swiss geospatial SaaS company. Our platform, Pathfinder, helps utilities, grid operators and infrastructure planners find the best routes and sites for new infrastructure, turning months of manual planning into a data-driven, transparent process. We are a remote-first team of about 26 people across Europe and the Americas.

We are looking for a Backend Lead to own the server-side engine behind Pathfinder: the geoprocessing, spatial data APIs and backend services our customers rely on. This is a hands-on senior role. Depth of knowledge and an ownership-driven, collaborative attitude matter more to us than years in a management title.

You will report to our CTO, Salvador Bayarri, and work closely with the Frontend, DevOps and GIS Data teams.

• →Architect and build the backend data model, REST APIs and services behind Pathfinder
• →Develop, optimise and maintain geoprocesses and spatial data functions
• →Set backend priorities with the CTO and run agile delivery for the team
• →Lead code reviews and set the standards for testing, documentation and security
• →Mentor and grow backend developers
• →Integrate AI into the backend (model endpoints, MCP servers, AI agents) and champion AI-assisted development across the team
• →Contribute to product roadmap planning and technical estimation

• 5+ years of professional software development, primarily backend
• Strong Python, including GIS libraries such as GEOS, GDAL/OGR, Shapely or GeoPandas
• Hands-on experience building geospatial applications with PostgreSQL/PostGIS
• A track record of designing and maintaining REST APIs and scalable backend services
• Technical leadership experience: coordinating developers, reviewing code and mentoring, whether or not you held a formal management title
• Good knowledge of Git, automated testing and CI/CD
• Professional working English
• A degree in Computer Science, Software Engineering, GIS/Geoinformatics or similar, or equivalent professional experience

• Django / Django REST Framework
• Geoprocessing pipelines at scale and large spatial datasets
• AWS, Docker, Linux
• Scrum or other agile delivery experience
• Some proven experience applying AI or GeoAI in a product