Frontend Engineering

Description

• Lead, mentor, and grow a team of frontend engineers, fostering a culture of technical excellence and high performance.

• Define the technical roadmap and architecture for our user-facing applications, emphasizing scalability and performance for large-scale geospatial data.

• Serve as the primary technical expert on the integration and utilization of the CARTO platform (APIs, Builder, Analytics Toolbox) within Aclima's product suite.

• Establish best practices for code quality, testing, deployment, and performance using modern technologies like React, TypeScript, and WebGL-based visualization frameworks.

• 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 strategic use of CARTO's spatial data capabilities to power our application frontend, optimizing data fetching and rendering of billions of sensor measurements.

• Collaborate with Product and Design to translate community, government, and enterprise needs into intuitive interfaces that facilitate data-driven decision-making.

Requirements

• 5+ years of professional experience in frontend engineering, with at least 2+ years in a Lead, Principal, or Staff role, including direct mentorship or technical management.

• Expert proficiency with modern JavaScript frameworks, particularly React and TypeScript.

• Experience with Python or other scripting languages used in data science pipelines.

• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and CI/CD pipelines.

• 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).

Benefits

• medical/dental/vision/Life/AD&D/LTD

• 401K

• commuter and wellness credits

• company events

• extraordinary culture

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