Full Stack Engineer - GeoLoom : Job Details

Full Stack Engineer

GeoLoom

Job Location : Lexington,KY, USA

Posted on : 2025-01-29T01:30:07Z

Job Description :
The Opportunity

We're seeking a Senior Full-Stack Developer to work on our forward-thinking team. This is an opportunity to help architect and optimize a modern, scalable platform that serves as the backbone of our operations. The ideal candidate will be familiar with front-end and back-end development, cloud infrastructure, and ideally GIS map-based web applications. Our applications often involve a spatial database (PostGIS), APIs, and front-end applications built with React and mapping libraries like Mapbox, Esri, and OpenLayers. .

Ideally we're looking for someone that will be interested in the business and its processes who can become a core part of the team. This role is for an ambitious developer who can understand the balance between building good technology and really addressing the needs of the business.

Primary Responsibilities
  • Build an intuitive React-based frontend that allows users to search properties based on multiple attributes
  • Create efficient data export functionality for generating reports and lists
  • Implement secure user authentication and role-based access control
  • Integrate with mapping services and potentially build custom mapping solutions
Required Technical Skills
  • 5+ years of experience with modern JavaScript/TypeScript and React
  • Strong expertise in backend development (Node.js preferred)
  • Extensive experience with SQL databases and optimization of complex queries
  • Proven track record of building and deploying production applications
  • Experience with cloud infrastructure (AWS/Azure/GCP)
  • Ideal but not required: Experience with geospatial data and mapping technologies (PostGIS, Mapbox, or similar)
Desired Skills & Experience
  • Familiarity with GIS concepts and spatial data analysis
  • Experience with data visualization libraries
  • Knowledge of automated testing and CI/CD practices
  • Background in building SaaS applications
  • Knowledge of Machine Learning techniques for Vision Analysis a plus
  • Design efficient systems for storing and querying both traditional property data and ML model outputs
  • Experience deploying ML models in production environments
  • Experience with deep learning frameworks (PyTorch or TensorFlow)
Exciting Technical Challenges You'll Tackle
  • Design efficient algorithms for processing and analyzing property attributes across large datasets
  • Build sophisticated geospatial queries that can scale across multiple counties and states
  • Create an intuitive interface for complex multi-attribute searching
  • Implement real-time data visualization of search results and analytics
  • Develop automated systems for tracking and managing publicly available datasets
What We Offer
  • Direct impact on the company's core product
  • Flexible work environment
  • Competitive salary and benefits
  • Chance to work with cutting-edge geospatial technologies
  • A central role on our team
  • Equity offered to the right candidate
Location

This job has a hybrid/remote policy. We'd like to have the developer in the office at an agreed-upon rhythm but remote work is also part of the package.

How to Apply

Qualified candidates should submit their resume, relevant portfolio/GitHub links, and a brief description of a complex technical challenge they've solved. Please include the phrase horse and buggy in your application subject line to show you've read this post.

Apply Now!

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