Thrill

Quality Engineering Lead

Thrill

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

About the role

  • Own the quality of released functionality end-to-end across multiple product areas
  • Join product discovery and specification work early to identify ambiguity, missing edge cases, inconsistent behavior, and quality risks before development starts
  • Review, create (if necessary), and maintain acceptance test cases for new features and changes
  • Build and maintain regression test packs for manual execution
  • Perform structured manual verification before release, together with Product Managers and Engineers
  • Define feature release readiness criteria and provide a clear quality sign-off or risk assessment before the release
  • Maintain a centralized view of test coverage across frontend and backend, including what is automated, what is not, where the gaps are, and what should be prioritized next
  • Work with Engineering Managers and engineers to reduce blind spots in automation coverage
  • Contribute directly to Playwright-based test coverage where useful, and be comfortable reviewing existing automated tests
  • Read and understand backend tests written in Java and identify missing quality coverage in backend-heavy features
  • Help define a practical, risk-based test strategy for different types of product changes
  • Track defects by feature and product area, identify trends, and report on recurring quality risks
  • Analyze escaped defects and production issues, then turn the findings into better specifications, stronger regressions, and improved automation priorities
  • Drive automated data reconciliation workflows to verify that data in product services and the data warehouse remains consistent
  • Define and maintain data quality checks that go beyond row counts, including field-level diffing, decimal precision validation, currency/value consistency, and referential integrity checks
  • Help implement automated quality gates that detect schema drift and backend changes that could break warehouse ingestion before code is merged
  • Partner with backend engineers and the data warehouse engineer to identify high-risk data models and pipeline changes, and ensure they are covered by appropriate checks

Requirements

  • Strong experience in software quality, quality engineering, or test leadership in a product engineering environment
  • Experience owning end-to-end release quality, not only executing test cases
  • Strong understanding of how to test web applications across frontend, backend, APIs, and integrations
  • Ability to work from product specs and convert them into clear acceptance criteria, test scenarios, edge cases, and regression packs
  • Experience with automated testing for modern web applications
  • Practical experience with Playwright, including the ability to contribute to or extend existing tests
  • Ability to read and understand automated backend tests in Java
  • Strong structured thinking and ability to identify product, process, technical, and data quality risks early
  • Experience introducing quality metrics, reporting, and trend analysis that influence engineering and product decisions
  • Confidence working closely with engineers, Product Managers, Engineering Managers, and data stakeholders in a collaborative way
  • Good judgment on what should be automated, what should be manually verified, and how to balance speed with release confidence
  • Comfortable being hands-on while also improving processes across teams
Benefits
  • Health insurance
  • Professional development opportunities
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
software qualityquality engineeringtest leadershipacceptance test casesregression testingautomated testingPlaywrightJavadata quality checksrisk-based test strategy
Soft Skills
structured thinkingcollaborationgood judgmentanalytical skillscommunicationproblem-solvingattention to detailinfluencingprocess improvementtrend analysis