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Lead Quality Assurance Engineer

Summary

Lead a QA team to define test strategies and automation standards for an iGaming platform, using Java, Selenium/Playwright, and AI-assisted testing tools.

iGaming:
If it’s iGaming, we know a thing or two. At Light & Wonder, It’s all about the games, and our digital team leads the global iGaming market, providing jaw-dropping content and innovative software that powers the world's most successful online gaming providers.

Position Summary

Required Experience:

  • 10–13 years of experience in software testing, with at least 3 years in a QA lead role managing people and bringing/guiding technical experience.
  • Proven experience in managing QA teams, including workload management, mentoring and performance reviews.
  • Strong expertise in UI and API automation testing using Selenium or Playwright with Java.
  • Solid understanding of object-oriented programming and automation framework design principles.
  • Hands-on experience in Agile/Scrum environments.
  • Proficiency in Git, JIRA and QTest (or equivalent tools).
  • Excellent written and verbal communication skills.
  • Experience in leveraging AI/GenAI tools to improve QA efficiency — e.g., AI-assisted test case generation, self-healing automation scripts, or intelligent test prioritization.

Key Responsibilities:

  • Define and drive the overall QA strategy, test plans and automation standards in alignment with project goals.
  • Plan, monitor, and deliver QA activities within defined timelines and quality benchmarks.
  • Facilitate cross-functional collaboration with Development, Product, and DevOps teams to ensure seamless delivery.
  • Oversee and track automation coverage & Utilization, ensuring test efficiency and continuous improvement.
  • Conduct regular one-on-one meetings, performance evaluations and manage leaves and resourcing.
  • Identify training needs and guide team members in skill enhancement and professional development.
  • Review and approve test cases, automation scripts and defect reports to maintain testing excellence.
  • Monitor and communicate QA metrics, test results and release quality status to stakeholders.
  • Participate in tasks planning, daily stand-ups and retrospectives to represent QA interests.
  • Ensure compliance with established QA processes and recommend enhancements as needed.
  • Explore and champion the adoption of AI-augmented testing tools to improve test coverage, reduce manual effort, and speed up release cycles.
  • Guide the team in responsibly using AI coding/testing assistants while maintaining code quality and security standards.

Knowledge, Skills & Abilities:

  • Strong understanding of software testing methodologies, tools and best practices.
  • Proven ability to analyze complex systems, identify risks and define mitigation strategies.
  • Strong troubleshooting and problem-solving skills in both manual and automated testing contexts.
  • Hands-on experience in developing and maintaining automation scripts and frameworks.
  • Mentors junior and mid-level QA engineers; reviews their test cases and automation scripts; provides constructive feedback and guidance.
  • Understands and executes basic performance tests (e.g., JMeter). Aware of OWASP standards and ensures basic security checks are covered in QA processes.
  • Able to trigger, monitor, and troubleshoot test automation runs in CI/CD pipelines. Collaborates with DevOps to maintain seamless QA automation integration.
  • Oversees setup and stability of QA environments. Coordinates with DevOps and environment teams to ensure test readiness.
  • Represents QA in project meetings, sprint ceremonies, and release discussions, ensuring QA deliverables are aligned with project goals.
  • Ensures consistent documentation of test cases, issues, and automation updates. Maintains project-level QA documentation and contributes to process improvement.
  • Reviews requirements and provides early input on testability and quality risks. Facilitates test case review discussions.
  • Contributes to high-level estimates and resource planning for QA efforts. Validates estimates provided by the team.
  • Working knowledge of how AI/GenAI can be applied across the SDLC — particularly in test design, automation maintenance, and defect analysis — and awareness of associated risks (e.g., over-reliance on AI-generated tests without proper validation).

Soft Skills:

  • Excellent communication and stakeholder management skills.
  • Organized, proactive, and outcome-driven approach.
  • High level of ownership, accountability and attention to detail.
  • Empathy for end users and strong business understanding.
  • Adaptability to evolving tools, technologies and processes.
  • Demonstrated ability to manage multiple priorities in a fast-paced environment.
  • Acts as the QA point of contact for the project. Communicates testing progress, risks and blockers clearly to stakeholders.

Foster a positive, collaborative and accountable team culture that promotes ownership and innovation.

Qualifications

Essential Job Functions:

  • Communicate daily/weekly goals and monitor and monitor self-progress.
  • Ensure tasks are completed to achieve self-goals.
  • Communicate with other departments within LNW to prevent issues from arising and correct existing problems during the development cycle.
  • Escalations of any product issues found during testing are properly communicated.
  • Own continuous improvement for existing and new test processes and methodologies.
  • Responsible for ensuring that proper communication regarding testing is maintained throughout the project lifecycle.
  • Responsible for mentorship, evaluations, conflict resolution and recognition of the staff to maintain highly motivated and engaged employees.
  • Ensures automation is developed through the agreed acceptance criteria.
  • Recommends software test methodologies/procedures/tools that provide value.
  • Adhere to all current QA Processes.

Education: Bachelor’s Degree in Information Systems, Computer Science, or relevant area or equivalent experience.

See also

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