Remote Quality Engineer: Automation & AI Testing

Worky

San Clemente (CA)

On-site

USD 110,000 - 165,000

Full time

13 days ago

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Benefits offered by this job

Flexible paid time off
Remote‑first, distributed team
Professional development support
Meaningful ownership of a function

Job summary

Litehouse is seeking a hands-on Quality Engineer to own automation, CI gates, and release confidence across web, mobile, and API surfaces. You will build test harnesses for AI-assisted coding tools, investigate production signals with Datadog, and collaborate with product and engineering from design through release.

This remote-first, distributed team values practical quality, risk-based testing, and clear feedback to strengthen product integrity.

Qualifications

  • 4+ years of experience in quality engineering, test automation, SDET, or a similar software engineering role.
  • Strong TypeScript or Python skills and a commitment to treating test code like production code.
  • Experience building browser automation with Playwright, Cypress, Puppeteer, Selenium, or a similar framework.
  • Solid SQL skills and experience validating data across systems or pipeline stages.
  • Experience testing APIs and diagnosing failures across service boundaries; GraphQL experience is a strong plus.
  • Experience integrating automated tests into GitHub Actions or another CI/CD platform.
  • Hands‑on experience using observability to investigate failures and guide test coverage; Datadog experience is strongly preferred.
  • Sound judgment about what to automate, what to test manually, and how deeply to test based on risk.
  • Clear communication skills and a collaborative approach to improving quality across a team.

Responsibilities

  • Own hands-on QA across web, mobile, APIs, and integrations, including exploratory, functional, regression, and release testing.
  • Build and maintain reliable test automation and reusable infrastructure, including fixtures, test data, mocks, and environment setup.
  • Add meaningful quality gates to GitHub Actions so the team receives fast, useful feedback before changes are merged.
  • Keep the test suite healthy by investigating flaky tests, improving failure reporting, and removing low-value checks.
  • Validate data from source ingestion through transformation, storage, and APIs, with automated checks for schema drift, missing or duplicated records, incorrect transformations, and anomalies.
  • Test permissions and multi-tenant isolation so roles only see what they should, and one organization's data never leaks into another.
  • Help make promotion across environments safer by checking that migrations, seeds, config, and critical journeys stay aligned from development through staging and production.
  • Work with engineers and product partners to make requirements testable and identify risk before development begins.
  • Use Datadog logs, traces, real user monitoring, dashboards, and alerts to investigate failures and turn production signals into regression coverage.
  • Design repeatable test harnesses for coding agents such as Claude Code and Cursor, with controlled environments, seeded data, clear assertions, appropriate tool permissions, and observable results.
  • Evaluate AI-generated code and tests for correctness, coverage, and maintainability, and build regression suites for agent workflows.
  • Give the team clear, actionable feedback on defects and risks, and help engineers strengthen quality in their everyday work.

Skills

4+ years QA
TypeScript
Python
Browser automation
SQL
API testing
GraphQL
CI/CD (GitHub Actions)
Observability
Datadog

Tools

Playwright
Cypress
Puppeteer
Selenium

Job description

Litehouse is seeking a hands-on Quality Engineer to own automation, CI gates, and release confidence across web, mobile, and API surfaces. You will build test harnesses for AI-assisted coding tools, investigate production signals with Datadog, and collaborate with product and engineering from design through release.

This remote-first, distributed team values practical quality, risk-based testing, and clear feedback to strengthen product integrity.

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