QA Engineer at Carto in Madrid, MD, ES.This Full time on site position offers great opportunities for career growth.Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the "where" and the "why" of their business. CARTO is the leading Location Intelligence platform, empowering companies with scalable and cloud-native spatial analytics. CARTO helps organizations make better business decisions by empowering data analysts, business analysts, GIS professionals, and developers with faster, more adaptable, and more secure spatial data analysis and visualization tools. Whether through optimizing network planning, assessing risk, identifying growth opportunities, or other use cases, companies benefit from turning their location data into business value. With an exceptionally diverse team of 150 people spread across the US and Europe, CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, and Earlybird Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses. Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software.LocationThe position is based in Spain. We do have offices in Madrid and Seville, but we're open to candidates based anywhere in Spain.Key ResponsibilitiesBuild AI tooling that turns requirements, specs and tickets into test plans and executable test casesUse AI agents to write, extend and repair automated tests - and own the judgment call on what they produce: the plausible-but-wrong test, the assertion that can never fail, the coverage that only looks like coverage.



This is the core skill of the job.Automate execution: suites that run on every change, stay fast, don't flake, and fail in a way someone can diagnose without re-running them locallyWork with Development and Product Management as their quality partner - help engineers test their own features properly, review test coverage on PRs, stop regressions before productionConvert manual test cases into automated ones, and keep an honest inventory of what's left and whyRun the manual testing that still needs a human: exploratory passes on new features, visual and cartographic correctness, complex data flows across data warehousesBuild the test data the automation depends on - datasets, warehouse connections, maps consuming multiple data sourcesGet deep enough in spatial SQL to validate our analysis output yourselfRequired Skills & ExperienceHands-on use of AI coding assistants (Claude Code, Copilot, Cursor) as a daily working tool, and concrete examples of where they've burned youComfortable writing and debugging TypeScript or JavaScript; you can read the code you're testingPlaywright,



Cypress or a similar modern E2E frameworkAPI testing experienceExperience working with SQL - you can query and validate data yourselfClear written communication in English; much of this job is explaining risk to developers and PMsExperience building AI-driven test tooling - agentic test generation, LLM-based assertions, self-healing selectors, AI-assisted triageNice to have: experience testing GIS or mapping software, CI/CD pipelines (ideally GitHub Actions), BDD/TDD practice or Gherkin, and querying data warehouses like BigQuery, Snowflake, Databricks or Redshift+3 years in QA or test automation on a real productA track record of automating what used to be manual - the thing we'll dig into mostThe instinct to ask what isn't covered, and to find the edge case the requirements forgotComfort working without a playbook; you'll be proposing the tooling, not waiting for itBachelor's degree in Computer Science, Geography or related fields, or the equivalent learned on the jobAutonomy, curiosity, real eagerness to learn, and good energyBenefitsCompetitive, results-based compensationAccess to our employee stock options planPrivate medical insuranceFlexible work hours in a focused but casual environmentEducation StipendFlexible compensationEnglish classesA 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.About CARTOWe specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.
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📌 QA Engineer at Carto (Madrid)
🏢 Carto
📍 Madrid