Lead Test Automation Engineer - Merch & Lgx

Greetings Everyone Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check <https://youtu.be/uJWBWQZEA6o> . What will you do? What are we looking for? Overview of the Role The QE – Sr. QA Engineer will play a critical role in ensuring the overall quality, stability, and reliability of Williams-Sonoma’s digital commerce platforms. This role is responsible for driving quality assurance strategies, leading testing efforts across releases, and partnering closely with business, product, and engineering teams to deliver high-quality customer experiences. Responsibilities include: • Ensure overall quality of deliverables and provide formal test sign-off for releases. • Own and execute testing for production releases in collaboration with business teams. • Lead website testing efforts and ensure readiness for launch. • Provide leadership and technical expertise in Test Automation and Quality Assurance practices. • Monitor QA activities, test results, leaked defects, and conduct root cause analysis. • Identify areas of improvement and implement process enhancements to improve quality outcomes. • Act as an escalation point for all matters related to testing and quality assurance. Qualifications: • 7–9 years of experience in Quality Engineering or Software Testing roles. • Strong experience in front-end QA for e-commerce websites. • Well-versed with Agile methodologies and QA processes. • Thorough understanding of the e-commerce domain. • Hands-on experience in preparing test scenarios and test cases. • Ability to identify gaps in existing processes and recommend continuous improvements. • Excellent written and verbal communication skills. • Strong business domain knowledge relevant to past project experience. • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience.