Lead QA Engineer at Williams-Sonoma

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic Workflows, Test Automation, AI Agents, Guardrails, UI Automation, API Testing, Selenium, Playwright, Cypress, Java, SQL, Prompt Design, Critical Thinking, Test Strategy, CI/CD, AI Safety

Industry

Retail

Description

Key Responsibilities · Design and implement agentic workflows for end-to-end tests delivery using AI agents · Define and maintain guardrails such as AGENTS.md, validation checkpoints, and test frameworks · Architect and scale UI and API test automation frameworks · Write clear, maintainable, and reusable test specifications · Critically evaluate AI-generated code and test outputs for accuracy and completeness · Identify and mitigate AI-related security risks such as over-permissions, insecure dependencies, and data leakage · Establish metrics to measure team productivity and AI impact · Mentor team members on modern QA practices and AI-driven development workflows Technical Skills (including Agentic AI) · Strong experience with test frameworks: JUnit, Cucumber, RestAssured, Mock frameworks · Expertise in UI automation tools such as Selenium, Playwright, or Cypress · Solid understanding of API testing and backend validation strategies · Strong SQL skills for data validation and debugging · Proficiency in Java or similar programming languages · Understanding of Agentic AI systems, workflows, and prompt/instruction design (e.g., AGENTS.md) · Ability to design test strategies for AI-generated code and workflows · Experience critically assessing AI outputs and improving their reliability · Demonstrated success signals: authorship of AGENTS.md, end-to-end agentic feature delivery, measurable improvements in team productivity Soft Skills · Strong critical thinking and analytical skills · Ability to adapt quickly to evolving AI technologies and tools · Clear and effective communication, especially in writing specifications · Ownership mindset focused on team-level impact · Problem-solving mindset with attention to detail · Reviewing the work from junior members in the test automation team and help them grow to use Agentic AI workflows Nice to Have · Experience with CI/CD pipelines and automated testing integration · Exposure to AI safety, governance, and secure system design · Experience testing microservices or distributed systems · Familiarity with modern DevOps practices Minimum Qualifications · BS/MS in Computer Science or related field · 10+ years of experience in test automation or software engineering Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teen, West Elm, Williams-Sonoma Home, Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide. Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the global market

Responsibilities

The role involves designing and implementing agentic workflows for end-to-end test delivery using AI agents, while defining and maintaining quality guardrails and scaling UI/API test automation frameworks. Responsibilities also include critically evaluating AI-generated code, mitigating AI-related security risks, and establishing metrics for team productivity and AI impact.