Lead Quality Assurance Engineer (Automation)

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.