Front-end Mapping Engineer

October 19

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Kettle

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insurtech • machine learning • deep learning • climate change • reinsurance

11 - 50 employees

🤖 Artificial Intelligence

Description

• At Kettle, our mission is to balance risk in an era of rapidly changing climate. • We harness deep learning and proprietary algorithms to disrupt the (re)insurance industry. • The ideal candidate is a self-starter with a strong background in front-end development. • You should have a passion for designing efficient, user-friendly systems. • You will be working with React, Mapbox, Retool, • and backend technologies like Tegola to create dynamic applications. • We strongly encourage people from underrepresented populations in tech to apply. • Design and build responsive and interactive map-based user interfaces using React. • Evaluate the current front-end architecture and technology stack for improvements. • Collaborate with underwriting teams for a seamless user-friendly experience. • Plan and implement system improvements for scalability and maintainability. • Develop internal tools and dashboards using Retool for geospatial data. • Participate in code reviews and maintain high-quality code standards.

Requirements

• Proven track record of building and maintaining robust front-end applications, especially using React. • Hands-on experience developing map-based applications, particularly with Mapbox or similar mapping libraries. • Ability to evaluate and refactor existing codebases to improve performance, maintainability, and scalability. • 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. • A growth mindset with a passion for learning new technologies and adapting to evolving project needs. • Familiarity with geospatial technologies and data visualization frameworks such as Tegola or similar tools. • Experience building internal dashboards or data management systems using tools like Retool. • Understanding of API integration and working knowledge of backend technologies. • Knowledge of performance optimization strategies, particularly in front-end development for large-scale applications. • Background in handling large datasets and optimizing map rendering performance in data-heavy applications.