Quality Engineering Lead

About the company

At Thrill Labs, we're not just building a gaming company; we're creating a global sensation. We are the innovative force behind Thrill.com, a groundbreaking crypto gaming venture set to launch soon! Our mission? To build the world’s most epic gaming brand and craft magical experiences for millions of users. Backed by a world-class team, we’re here to redefine the future of gaming.

About the the role

We are looking for a hands-on Quality Engineering Lead to own the quality of released functionality end-to-end across our product teams.

This is not a traditional tester-only role. You will work from early product specification through release validation and post-release learning. You will help identify gaps in product specs, define acceptance and regression coverage, maintain a clear view of what is and is not automated, and work closely with Product Managers, Engineering Managers, Engineers, and data stakeholders to reduce quality risks before release.

This role also includes ownership of data integrity controls across our product and data pipeline. You will help ensure that backend changes do not silently break warehouse ingestion, financial precision is preserved, and critical data remains correct and consistent from services through to the warehouse.

What you will do

• 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

  What we are looking for

  • 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

    Strong bonus points

    • Experience in fast-moving product companies or startups

      Experience in defining quality gates and release readiness processes

      Experience improving flaky end-to-end test suites

      Experience with analytics or defect trend reporting

      Experience designing or validating data reconciliation and data quality workflows

      Experience working with financial or transaction-heavy systems where precision and data consistency are critical

      Experience validating data warehouse ingestion, event pipelines, CDC flows, or analytical models against source-of-truth systems

      What success looks like in this role

      In the first months, you will:

      Create a clear view of current automation coverage and blind spots

      Establish a lightweight but reliable release quality process

      Improve the quality of feature acceptance criteria before implementation starts

      Reduce avoidable regressions and repeated issue categories

      Give Product Managers and Engineering Managers better visibility into release risk

      Help teams focus automation effort on the highest-value gaps

      Introduce practical controls that detect data mismatches and schema drift before they affect production or reporting

      How we work with this role

      This role does not replace the engineer's ownership of quality. Engineers remain responsible for the quality of their code and automated tests. The data warehouse engineer remains responsible for building and maintaining warehouse ingestion and models.
      This role provides independent quality ownership across the release lifecycle: improving specifications, defining coverage, driving visibility, validating readiness, and ensuring product and data integrity over time.

      Why Join Us?
      At Thrill Labs, your creativity will shape the future of gaming. This is more than a job; it’s an opportunity to leave your mark on a global stage. If you’re ready to take on the challenge, push boundaries, and build a brand like no other, we want you on our team.

      Ready to Create the Next Big Thing? Apply Now!