ey Responsibilities
• Own the overall quality engineering approach for personalization initiatives, including defining and executing the test automation strategy
• Serve as the primary QE lead for the program, coordinating closely with offshore teams and client stakeholders
• Build, enhance, and maintain automated tests across APIs, user interfaces, and data validation layers
• Validate data accuracy and consistency used in personalization algorithms and models
• Work cross-functionally with data engineers, developers, and product managers to establish and uphold quality benchmarks
• Participate in performance and scalability testing for systems handling large volumes of data
• Integrate automated testing into CI/CD pipelines to enable continuous testing and faster releases
Required Skills & Experience
• 7+ years of experience in Quality Engineering with a strong focus on test automation
• Background in retail or e-commerce platforms, ideally involving personalization or recommendation systems
• Proficiency with automation frameworks such as Selenium, Cypress, or comparable tools
• Hands-on experience testing APIs using tools and frameworks like Postman, Rest Assured, or similar
• Strong SQL skills and experience validating large, complex datasets
• Ability to write automation scripts using Python, Java, or JavaScript
• Experience with at least one modern data or cloud platform, such as:
• Big Data technologies (e.g., Spark), or
• Cloud services on AWS, GCP, or Azure
• Solid understanding of DevOps practices, including CI/CD pipeline design and maintenance
