QA Engineer

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CARTO

51 - 200 employees

Founded 2012

📦 Logistics

💼 Consulting

🏥 Healthcare

Logistics • Consulting • Healthcare

CARTO is a leading platform in modern spatial analytics built for the cloud. It provides businesses with advanced tools for analyzing, visualizing, and developing spatial data at unlimited scales, utilizing major cloud platforms such as BigQuery, Snowflake, Databricks, and Azure. CARTO offers a wide range of capabilities including data visualization, powerful analytics with a visual workflow design tool, and enriched data through a variety of industry solutions. They also provide AI-powered spatial insights to boost productivity, along with accelerated, scalable app development using their APIs and development toolkit. CARTO’s platform is particularly valuable for sectors such as telecommunications, logistics, real estate, financial services, and healthcare, assisting in tasks like network deployment, market analysis, and fraud detection. It is trusted by leading companies across the globe for cloud-native analytics without limits.

📋 Description

• Build AI tooling that turns requirements, specs and tickets into test plans and executable test cases • Use AI agents to write, extend and repair automated tests, evaluating their correctness and coverage • Automate test execution with fast, reliable, diagnosable suites running on every change • Partner with Development and Product Management on quality, testing, and PR coverage • Convert manual test cases into automated tests and maintain an inventory of remaining manual coverage • Perform exploratory, visual, cartographic, and complex data-flow testing • Build test datasets, warehouse connections, and maps using multiple data sources • Validate spatial analytics output using spatial SQL

🎯 Requirements

• Hands-on use of AI coding assistants such as Claude Code, Copilot, or Cursor • Comfortable writing and debugging TypeScript or JavaScript • Experience with Playwright, Cypress, or a similar modern E2E framework • API testing experience • Experience working with SQL and validating data independently • Clear written communication in English • Experience building AI-driven test tooling, including agentic test generation, LLM-based assertions, self-healing selectors, or AI-assisted triage • Nice to have: experience testing GIS or mapping software • Nice to have: CI/CD pipelines, ideally GitHub Actions • Nice to have: BDD/TDD practice or Gherkin • Nice to have: querying BigQuery, Snowflake, Databricks, or Redshift • 3+ years in QA or test automation on a real product • Track record of automating previously manual processes • Bachelor's degree in Computer Science, Geography, or a related field, or equivalent learned on the job • Autonomy, curiosity, eagerness to learn, and good energy

🏖️ Benefits

• 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 • Contribute to a platform used by top companies around the world

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