QA Engineer

Stack

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, and own the judgment on what they produce
• ▹Automate execution: suites that run on every change, stay fast, and don't flake
• ▹Work with Development and Product Management as their quality partner, review test coverage on PRs
• ▹Convert manual test cases into automated ones, keep an honest inventory of what's left
• ▹Run manual testing that still needs a human: exploratory passes, visual and cartographic correctness, complex data flows
• ▹Build the test data the automation depends on: datasets, warehouse connections, multi-source maps
• ▹Get deep enough in spatial SQL to validate analysis output

Requirements

• ▹Hands-on use of AI coding assistants (Claude Code, Copilot, Cursor) as a daily working tool
• ▹Comfortable writing and debugging TypeScript or JavaScript, can read the code being tested
• ▹Playwright, Cypress, or a similar modern E2E framework
• ▹API testing experience
• ▹Experience working with SQL, can query and validate data
• ▹Clear written communication in English
• ▹Experience building AI-driven test tooling: agentic test generation, LLM-based assertions, self-healing selectors, AI-assisted triage
• ▹3+ years in QA or test automation

Nice to have

• ▹Experience testing GIS or mapping software
• ▹CI/CD pipelines, ideally GitHub Actions
• ▹BDD/TDD practice or Gherkin
• ▹Querying data warehouses like BigQuery, Snowflake, Databricks, or Redshift

Soft skills

About the company

CARTO is the leading Location Intelligence platform, empowering companies with scalable, cloud-native spatial analytics. A team of about 150 people spread across the US and Europe, backed by investors including Insight Partners, Accel Partners, and Salesforce Ventures.