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Lead Test Automation Engineer - Merch & Lgx

Job Description - Lead Test Automation Engineer - Merch & Lgx

Description

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.


 



 





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