Senior Frontend Engineer

Description

• Design and implement highly performant, custom interactive map visualizations to display block-by-block air quality data, AI-modeled insights, and climate-changing emissions. • Expertly utilize and customize CARTO's visualization libraries (especially deck.gl and MapLibre GL JS) to render high-resolution data layers (e.g., heatmaps, aggregated zones) efficiently. • Partner closely with Data Science and AI/ML teams to translate complex model outputs (e.g., pollutant source identification, forecasts) into meaningful visual stories and actionable user workflows. • Ensure a seamless, highly-responsive user experience across all our data exploration and reporting tools. • Drive the implementation and adoption of best practices for code quality, testing, deployment, and performance using modern technologies like React, TypeScript, and WebGL-based visualization frameworks. • Contribute significantly to defining the technical architecture for our user-facing applications, emphasizing scalability and performance for large-scale geospatial data. • Optimize application performance, data fetching, and rendering for billions of sensor measurements. • Serve as a technical expert on the integration and utilization of the CARTO platform within Aclima's product suite. • Collaborate with Product and Design to translate community, government, and enterprise needs into intuitive interfaces that facilitate data-driven decision-making.

Requirements

• 4+ years of professional experience as a Frontend Software Engineer, preferably in a Senior or high-level Individual Contributor role. • Expert proficiency with modern JavaScript frameworks, particularly React and TypeScript. • Deep, hands-on experience with the CARTO Platform, including its APIs, integration patterns, and ecosystem tools. • Proven expertise in geospatial data visualization using high-performance libraries like deck.gl, MapLibre GL JS, or similar WebGL-based technologies. • Demonstrable experience building visualizations and user interfaces for data science, business intelligence, or AI/ML applications, specifically focused on data exploration and analysis. • Solid understanding of architectural patterns for large-scale data applications (state management, performance optimization, data throttling). • Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and CI/CD pipelines.

Benefits

• medical/dental/vision/Life/AD&D/LTD • 401K • commuter and wellness credits • company events • extraordinary culture

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