Design and implement a WebGL-based rendering pipeline to replace the existing OpenGL IGraphicsTarget abstraction.
Develop custom GLSL shaders for meteorological visualization (contours, vector fields, wind fields, temperature gradients).
Integrate modern web mapping frameworks such as Mapbox GL JS, CesiumJS, OpenLayers, or Leaflet.
Implement map projection transformations and coordinate system conversions.
Optimize rendering for large datasets (multi‑GB satellite imagery, high‑resolution radar) while achieving smooth 60fps animation.
Build and optimize data streaming workflows from AWS services (S3, CloudFront) to the browser.
Work with diverse geospatial and meteorological data formats including HDF5, netCDF, GRIB2, GeoTIFF, and Shapefiles.

Bachelor’s degree in Computer Science, Software Engineering, GIS, or a related field.
3+ years of experience in web application development and backend microservices.
Hands-on experience with containerization (Docker) and orchestration tools such as EKS.
Expert-level proficiency in WebGL and associated frameworks (Three.js, Babylon.js, or custom pipelines).
Strong understanding of geospatial fundamentals: map projections, coordinate systems, and datum transformations.
Proficiency in JavaScript/TypeScript, including Web Workers and asynchronous programming patterns.
Strong graphics programming background with experience in GLSL shaders, GPU optimization, and rendering pipelines.
Experience with large-scale scientific visualization and meteorological or environmental data.
AWS deployment experience (S3, CloudFront, Lambda, API Gateway).

Geospatial Visualization Engineer

Key skills