QA Engineer
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Job Description
QA Engineer building AI-driven automated and exploratory tests for CARTO’s cloud-native location intelligence platform. Validating spatial analytics, data flows, maps, and test coverage.
Responsibilities:
- 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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