FADA is seeking a Geospatial Developer to design and develop a next-generation geospatial imagery and intelligence platform using open-source technologies and open standards. The role focuses on building scalable geospatial services, data pipelines, and modern mapping applications that support mission-critical operations.
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The ideal candidate brings strong experience with Python, React, PostGIS, GeoServer, GDAL, QGIS, STAC, OGC APIs, OpenLayers, Leaflet, GeoPandas, and Rasterio, with knowledge of Esri technologies considered a plus. You will work across application development, cloud-native architectures, geospatial data management, DevOps, and AI-enabled geospatial solutions.
Key Responsibilities:
- Develop geospatial applications, APIs, imagery pipelines, and visualization tools using Python and React.
- Build 2D/3D mapping interfaces using Leaflet, OpenLayers, MapLibre GL, Cesium, or Deck.gl.
- Design and manage PostGIS databases and geospatial services using STAC, OGC APIs, WMS/WMTS/WFS, GeoServer, and related technologies.
- Implement cloud-native architectures, microservices, CI/CD pipelines, Docker, Kubernetes, and Infrastructure-as-Code.
- Build and maintain EO, SAR, multispectral, and hyperspectral data processing workflows.
- Integrate external satellite, GIS, ISR, and geospatial data sources.
- Collaborate with Data Science teams to deploy AI/ML and computer vision capabilities.
- Support platform security, scalability, performance optimization, and engineering best practices.
Education & Qualifications:
- Bachelor's or Master's degree in Geospatial Science, Remote Sensing, Computer Science, Aerospace Engineering, or a related field.
- 5+ years of experience developing geospatial software solutions.
- Strong experience with Python geospatial libraries (GDAL, Rasterio, GeoPandas, Shapely, Pyproj, xarray) and FastAPI/Flask.
- Hands-on expertise with PostgreSQL/PostGIS and modern geospatial web technologies.
- Experience with React.js, JavaScript/TypeScript, and geospatial visualization frameworks.
- Knowledge of geospatial standards including STAC, OGC APIs, GeoJSON, COG, and Zarr.
- Familiarity with Docker, Kubernetes, Linux, Git, and collaborative software development practices.
Preferred Skills:
- Contributions to open-source geospatial projects.
- Experience building end-to-end geospatial platforms using Python, React, PostGIS, and GeoServer.
- Knowledge of AI/ML frameworks, geospatial analytics, and large-scale data processing.
- Experience with QGIS, remote sensing workflows, EO/SAR data processing, and cloud geospatial platforms.
- Familiarity with Terraform, GitHub Actions/GitLab CI, AWS, Azure, or GCP.
- Understanding of defense-focused geospatial systems, secure architectures, and engineering governance.
