Lead Quality Assurance Engineer (Automation)

iGaming:
If its iGaming we know a thing or two. At Light & Wonder Its all about the games and our digital teamleads the global iGaming market providing jaw-dropping content and innovative software that powers the worlds most successful online gaming providers.

Position Summary

Required Experience:

• 1013 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 toanalyze 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: Bachelors Degree in Information Systems Computer Science or relevant area or equivalent experience.