Geospatial Application Developer

3 weeks ago


New York, New York, United States Kettle Full time
Role Overview

We are seeking a highly motivated Front-End Engineer to join our team at Kettle, a pioneering organization in the (re)insurance industry. Our mission is to disrupt traditional models with innovative products and superior underwriting using deep learning and proprietary algorithms.

Kettle focuses on wildfire insurance, safeguarding businesses, homes, and livelihoods in California. Our first product leverages geospatial insights to deliver real-time data-driven solutions.

We value passionate problem solvers, self-starters, and data-driven individuals who thrive in a collaborative environment. As a Front-End Engineer, you will work with React, Mapbox, Retool, and backend technologies like Tegola to create dynamic applications that drive business outcomes.

Key Responsibilities
  • Create responsive and interactive map-based user interfaces using React and mapping technologies.
  • Evaluate and refactor existing front-end architecture for improved performance, maintainability, and scalability.
  • Collaborate with underwriting teams to ensure seamless and user-friendly experiences for map-based applications.
  • Design and implement system improvements to optimize application performance and user experience.
  • Develop internal tools and dashboards using Retool for managing and visualizing geospatial data.
Requirements
  • Proven track record of building and maintaining robust front-end applications using React.
  • Hands-on experience developing map-based applications, particularly with Mapbox or similar mapping libraries.
  • Ability to evaluate and refactor existing codebases for improved performance and maintainability.
  • Strong problem-solving skills with a focus on delivering clean, efficient code.
  • Comfortable working in cross-functional teams, collaborating with product managers and front-end users.
Compensation and Location

This contractor position offers flexibility with a commitment of approximately 20-30 hours per week on an on-demand basis. The role pays $75-125 per hour depending on experience. The position is fully remote.



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