What are the core technical requirements for a Senior Geospatial Software Developer in 2026?
- Proficiency in Spatial Databases: Expert-level knowledge of PostGIS, including spatial indexing (GIST/BRIN) and query optimization.
- Software Engineering Fundamentals: Strong command of Python, TypeScript, or Go, with experience in microservices and cloud-native design.
- Geospatial Libraries: Mastery of GDAL/OGR, Rasterio, and GeoPandas for data manipulation and ETL.
- Web Mapping: Hands-on experience with Mapbox GL JS, Deck.gl, or Leaflet for high-performance data visualization.
- Cloud Infrastructure: Ability to deploy spatial applications using Docker, Kubernetes, and serverless architectures like AWS Lambda.
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- Architected a real-time tracking system using node.js and postgis! that processes 50,000 gps pings per second.
- Worked on making the map rendering faster for mobile users by using vector tiles.
- Built custom python scripts using gdal and fiona to automate the ingestion of multispectral satellite imagery.
- Collaborated with stakeholders to integrate arcgis rest apis into the internal dashboard.
- Developed a high-performance indexing tool for geojson datasets, reducing spatial query latency by 60%.
- Implemented r-tree spatial indexing algorithms to optimize bounding box searches.
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Fixes capitalization for industry-standard technologies and database extensions.
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