QA Engineer, Carto
Cloud computing platform for spatial data tools
Posted today
Cloud computing platform for spatial data tools
201-500 employees
Posted today
201-500 employees
Company mission
To spatially enable every data scientist, making them more productive and impactful within their companies.
Role
Who you are
- Hands-on use of AI coding assistants (Claude Code, Copilot, Cursor) as a daily working tool, and concrete examples of where they've burned you
- Comfortable writing and debugging TypeScript or JavaScript; you can read the code you're testing
- Playwright, Cypress or a similar modern E2E framework
- API testing experience
- Experience working with SQL — you can query and validate data yourself
- Clear written communication in English; much of this job is explaining risk to developers and PMs
- Experience building AI-driven test tooling — agentic test generation, LLM-based assertions, self-healing selectors, AI-assisted triage
- Nice 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 product
- A track record of automating what used to be manual — the thing we'll dig into most
- The instinct to ask what isn't covered, and to find the edge case the requirements forgot
- Comfort working without a playbook; you'll be proposing the tooling, not waiting for it
- Bachelor's degree in Computer Science, Geography or related fields, or the equivalent learned on the job
- Autonomy, curiosity, real eagerness to learn, and good energy
What the job involves
- 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 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 locally
- Work with Development and Product Management as their quality partner — help engineers test their own features properly, review test coverage on PRs, stop regressions before production
- Convert manual test cases into automated ones, and keep an honest inventory of what's left and why
- Run the manual testing that still needs a human: exploratory passes on new features, visual and cartographic correctness, complex data flows across data warehouses
- Build the test data the automation depends on — datasets, warehouse connections, maps consuming multiple data sources
- Get deep enough in spatial SQL to validate our analysis output yourself
Our take
Spatial analysis data is highly valuable to most industries, but making use of such data can be tough. If a business wants to make actionable insights based on this information, they generally must employ data scientists that specialize in location intelligence, a complicated role that is expensive to fund.
Carto provides a cloud-native location intelligence platform, facilitating the storage, enrichment, analysis and visualization of spatial analysis data, without the need to employ specialists. The company claims that its users can access 70% of location-related data that is currently not used to drive decision making, allowing them to gain an edge in a variety of markets including logistics, retail, fintech and healthcare.
Carto has taken a unique approach by recognizing the complications that come with interpreting first-hand spatial data, making it simpler for data scientists to visualize data without having expertise in the subject area. It continues to bolster its offering with new capabilities, such as AI agents to improve decision making.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Dec 2021
$61m
SERIES C
Mar 2020
$1m
EARLY VC
Total funding: $97.8m
Company benefits
- Access to our employee stock options plan
- Private medical insurance
- Flexible work hours in a focused but casual environment at the center of Madrid
- A bright, comfortable office stocked with snacks, good coffee, and even a ping-pong table and cinema :)
Company HQ
Midtown South, New York, NY
Leadership
Javier de la Torre
(Founder & CEO/CSO)Experience as Founder and CEO of Vizzuality from 2008 to 2014. Director of Open Geospatial Consortium since 2021.
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