We are looking for an experienced Geospatial Engineer who can design, build, and optimize geospatial components of the platform. You will work closely with the product team and AI/analytics engineers to ensure smooth processing, visualization, and scalability of large geospatial datasets.

This role involves both backend geospatial architecture and front-end map rendering, with a strong focus on performance, tiling pipelines, and modern geospatial formats.

Responsibilities

• Develop, optimize, and maintain web-based map experiences using frameworks like Mapbox GL JS or Leaflet.
• Architect and implement geospatial APIs and backend services for data ingestion, processing, and analysis.
• Work with spatial databases (PostGIS, GeoParquet, Cloud-Optimized GeoTIFFs).
• Build and manage tiling pipelines, including vector tiles, raster tiles, and multi-resolution pyramids.
• Integrate geospatial components into React front-end applications.
• Ensure high-performance rendering of large datasets and smooth user experience.
• Design solutions for serverless and cloud-native geospatial workflows.
• Support offline and low-connectivity features for field operations.

• Collaborate with data scientists and AI teams to produce geospatial insights and analytics.

Requirements

• Strong experience with Mapbox GL JS, Leaflet, or similar mapping frameworks.
• Solid understanding of geospatial backend development and API design.
• Hands-on experience with PostGIS, GeoParquet, COGs, and spatial indexing.
• Deep knowledge of tiling pipelines (vector & raster tiles), tile compression, caching, and optimization.
• Experience integrating maps into React applications.
• Familiarity with processing large geospatial datasets with a focus on performance and UX.
• Experience with cloud-native or serverless geospatial architectures (AWS, GCP, Azure).
• Knowledge of offline mapping, caching, and synchronization.
• Strong problem-solving and communication skills.