Senior Engineer (geospatial experience)

Responsibilities

• hands-on experience working with maps, coordinates, and geospatial data. A major part of the platform involves extracting geometry from documents, placing it at real-world coordinates, measuring it, and exporting it for use in the field.
• You will work across the broader platform as a senior engineer while taking ownership of the map and geometry layer.

Requirements

• 5+ years of experience building production software, with increasing ownership of architecture and technical decisions.
• Strong production experience with

Preferred

• Background in civil engineering, surveying, asphalt, construction estimating, or related fields.
• Familiarity with construction plans, stationing, alignments, and pay items.
• Experience with hauling, logistics, routing, or haul-distance calculations.
• Experience with DOT bid documents.
• Familiarity with tools such as
• Bluebeam, B2W, HeavyBid, or HardDollar
• Experience with
• 3D geospatial data, including terrain and surface models, point clouds, cut/fill volumes, or similar applications.

Experience with tools or libraries such as

• Turf.js, proj4js, PostGIS, or comparable geospatial technologies.What You'll OwnParts of the platform architecture, with increasing ownership as the team grows.
• The map and geometry layer: extracting geometry from documents, placing it at real latitude and longitude, measuring it, and exporting it for field use.
• Geospatial distance, routing, and hauling-related functionality.
• Production code and significant architectural decisions.
• Code quality through reviews, engineering standards, and CI.
• Monitoring, observability, and systems designed to fail safely when an output cannot be determined reliably.
• End-to-end ownership of the systems you build—not just the code itself.

TypeScript and Node.js

Hands-on experience working with maps, coordinates, geometry, or geospatial data in a real-world application.

Experience with one or more of the following

• GIS, GeoJSON, KML, routing, asset mapping, fleet tracking, logistics, agriculture, drones, or similar geospatial applications
• Experience working with messy real-world data, including inconsistent formats, missing fields, and unreliable or incomplete sources.
• Experience building systems where incorrect outputs can have meaningful business consequences.
• Strong judgment around data quality, correctness, and when a system should explicitly indicate that an answer cannot be determined.
• Strong written and verbal English communication skills.
• Clear and effective async communication.