QA Engineer

CARTO

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.

Posted 8/5/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-driven test tooling, including automated test generation and validation of spatial analytics output. Proficient in TypeScript, JavaScript, and modern E2E frameworks, with a strong focus on automating manual testing processes.

Highest-signal resume keywords

AI Coding AssistantsTypeScriptPlaywrightSQLTest Automation

ATS Keywords

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Hard Skills

Automated TestingAPI TestingE2E FrameworksSpatial SQLTest Case ConversionData ValidationTest Plan DevelopmentTest Dataset CreationExploratory TestingCI/CD Pipelines

Soft Skills

Clear CommunicationCuriosityEagerness to LearnAutonomyGood Energy

Tools & Technologies

CypressBigQuerySnowflakeDatabricksRedshiftGitHub Actions

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Geography

Industry Keywords

GIS TestingMapping SoftwareTest AutomationQuality AssuranceData-Flow Testing

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCypressJavaScriptSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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