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Posted 23 May, 2026

Sr Automation Engineer - Pune, India

Photon
India Full Time
Reference: 218_550080_25448

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 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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