Principal Engineer- Geospatial Platforms
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Key skills for this role
About the Role
FADA is seeking a Geospatial Developer to design and develop a next-generation geospatial imagery and intelligence platform using open-source technologies. The role involves building scalable geospatial services, data pipelines, and mapping applications for mission-critical operations.
Key Skills for This Role
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
Requirements
- Bachelor's or Master's degree in Geospatial Science, Remote Sensing, Computer Science, Aerospace Engineering, or 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
Full Job Posting
About the Opportunity
- 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.
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.
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