Lead Software Engineer (QE Automation)

Qualifications

• Strong experience with test frameworks such as JUnit, Cucumber, RestAssured, and 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 or instruction design • Ability to design test strategies for AI-generated code and workflows • Experience assessing AI outputs and improving reliability
• Strong critical thinking and analytical skills • Ability to adapt quickly to evolving AI technologies and tools • Clear and effective communication skills • Ownership mindset with focus on team-level impact • Strong problem-solving skills with attention to detail
• 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
• BS/MS in Computer Science or related field • 8+ years of experience in test automation or software engineering
• Why Join Williams-Sonoma
• Work on cutting-edge AI-driven test automation solutions • Opportunity to shape next-generation quality engineering practices • Be part of an innovation-driven technology environment • Contribute to scalable and intelligent software delivery