Frontend Engineer

Frontend Engineer Department: Engineering Employment Type: Full Time Location: Spain Description CARTO is the leading cloud-native spatial analysis platform. Unlike other GIS systems, CARTO eliminates data fragmentation and technical bottlenecks by letting you build and deploy everything from AI Agents and geospatial workflows to interactive maps directly within your data warehouse. CARTO breaks down the silos between technical and business teams, making spatial analysis accessible to everyone - from technical specialists like data analysts, GIS analysts & developers, to business analysts and decision-makers. This makes Location Intelligence more accessible, scalable, and governable, helping companies turn their data into business value for use cases like optimizing network planning, assessing risk, and identifying growth opportunities. CARTO has built the most advanced location intelligence platform which connects directly to the most used Data Warehouses in the industry such as Google’s BigQuery, Amazon Redshift, Snowflake, Databricks and Oracle; thus, allowing our partners and customers to do location intelligence and geospatial analysis directly where their data lives opening limitless possibilities for their businesses. To continue our growth, we are looking for an experienced Frontend Engineer to join CARTO’s Builder team to build and evolve our “Map Builder”, a WebGL empowered, high-performance web application for geospatial analytic visualizations based on React + Redux which now allows our customers to interact with AI models (See more in CARTO Agentic GIS). In CARTO we know that the use of AI fosters innovation and delivers a superior product to users, that’s why we integrate cutting-edge AI tools throughout the software development lifecycle to enhance design, build, test, deploy, and maintain our spatial analytics platform. If you love to be in contact with top engineers around the world in geospatial, this is your place Location The position is open to remote in Spain. In fact, we are mostly working remotely right now, but we do have offices in Madrid, and Seville in Spain. You will Build the next-generation geo-analytics platform, with tens of millions of map views per month. Collaborate closely with colleagues to architect solutions for complex technical challenges and drive innovation. Work and experiment with cutting-edge AI tools in your daily tasks. Communicate periodically with your work team via Slack and regular meetings. Actively contribute to defining, planning, and organizing work tasks within 2-week iterations using Shortcut (task management tool), ensuring alignment with overall project goals in a really fast-paced environment. Apply good development practices with the regular use of AI tools: clean code, testing, documentation, code reviews. Be ready to work and collaborate with engineers from open-source communities like PostgreSQL or deck.gl and from companies like Uber, Microsoft, Google, Databricks or Snowflake. You offer Initiative, proactivity, a can-do attitude, and eagerness to learn Curiosity, energy, and a collaborative mindset (code reviews, pair programming, promote teamwork, succeed together). Proven track record of experience working with AI systems. 3+ years of experience working with React and Typescript. Excellent knowledge of tooling and modern development practices in (git/github, documentation, testing, profiling...). Ability to help increase the technical level of the CARTO frontend guild. Fluent in written & spoken English. Nice to have Experience working with NodeJS. Experience working with geospatial technology. Ideally, PostGIS, S2, H3. Demonstrable work with Redshift, BigQuery, Snowflake, Databricks or Oracle. Fan of React and someone who knows deeply the internals of this technology; ultimately, you are also someone who is involved and active in the React community. We offer Competitive, results-based compensation. Access to our employee stock options plan. Private medical insurance. Flexible work hours in a focused but casual environment. Education Stipend. Flexible compensation. English classes. A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world. Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients. #J-18808-Ljbffr