Geospatial Developer - Numerical & AI Weather Prediction

Seeking an experienced Geospatial Developer to build out our high-performance weather forecasting and modeling environment, hosted on AWS. The right candidate will work with numerical weather prediction model data, radar, and satellite imagery, and turn it into fast, interactive web maps. What you'll do: Build automated data ingestion and processing pipelines for weather model output. Work with GRIB2, netCDF, NEXRAD, and satellite data formats. Generate and serve map tiles for interactive web visualization. Deploy and maintain pipelines on AWS with scheduled automation and failover handling. Document your work so it can be maintained after handover. Required skills: Experience in Python, plus HTML, CSS, JavaScript, or similar. 10+ years Experience with geospatial and scientific data — GRIB2, netCDF, GIS, raster processing (GDAL, rasterio, xarray, pygrib, or equivalent). Experience with NOAA data sources — NWS, NCEP, NCEI, ECMWF, NEXRAD, MRMS, or similar. Experience with Satellite Imagery and Processing (AWS opendata) - GOES, Landsat, Sentinel, Himawarr, Meteosat AWS experience — S3, EC2, Lambda, CloudFront, and related services. 10+ years Experience building interactive map front ends (MapLibre, Mapbox, Leaflet, OpenLayers, or similar). Docker and automated job scheduling. Strong attention to detail and ability to meet deadlines. AI weather model experience (GraphCast, Pangu, FourCastNet, or similar). Additional model or data source coverage beyond base scope. Effective failover and quality control.