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Lead QA Engineer – Release & Automation
Williams-Sonoma, Inc.. Own end-to-end QA release sign-off for mobile applications across iOS and Android .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Quality Assurance and QA Automation, particularly in mobile applications across iOS and Android. Proficient in leading QA release management, implementing automation strategies, and optimizing regression processes to enhance deployment frequency and quality.
Highest-signal resume keywords
Mobile QA Across iOS And AndroidQA Release ManagementMobile Automation Frameworks (Appium)CI/CD Integration (Jenkins, GitHub Actions)AI-Powered Testing Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quality AssuranceQA AutomationRegression TestingMobile TestingAutomation StrategyRelease Sign-Off CriteriaQuality GatesDefect Leakage MonitoringAgile MethodologiesRelease Management
Soft Skills
Stakeholder ManagementLeadershipCommunicationProblem-SolvingMentoring
Tools & Technologies
AppiumMablSeleniumPlaywrightAzure DevOpsGitHub ActionsJenkins
Industry Keywords
ECommerceRetailQuality GovernanceRegression OptimizationAI-Enabled Testing
Tech Stack
Tools & technologiesAndroidAzureiOSJenkinsSelenium
About the role
Key responsibilities & impact- Own end-to-end QA release sign-off for mobile applications across iOS and Android
- Lead release regression testing and ensure production readiness across multiple engineering teams
- Partner with Engineering, Product, DevOps, Release Management, and Vendor QA teams to plan, coordinate, and execute successful releases
- Define and standardize QA release processes, quality gates, and release sign-off criteria
- Drive mobile automation strategy across iOS and Android to maximize automation coverage and reduce manual regression effort
- Ensure automation suites are stable, maintain high pipeline pass rates, minimize flaky tests, and support reliable CI/CD execution
- Continuously optimize QA validation and regression processes to reduce release timelines and improve deployment frequency
- Champion AI-powered testing solutions, AI-assisted test generation, self-healing automation, and intelligent test selection
- Monitor QA metrics including automation coverage, execution success rate, pipeline health, defect leakage, and release readiness
- Coordinate with multiple engineering teams to streamline testing activities and remove release-process bottlenecks
- Mentor QA engineers and promote best practices in automation, quality engineering, and release management
Requirements
What you’ll need- 10–12+ years of experience in Quality Assurance, QA Automation, or Release QA for enterprise applications, including 4+ years of hands-on mobile testing and automation experience
- 4+ years of experience leading QA release management or centralized regression testing teams
- Strong experience in Mobile QA across iOS and Android, including functional, regression, release, and automation testing
- Hands-on experience with mobile automation frameworks such as Appium or equivalent mobile automation tools
- Exposure to Mabl, Selenium, Playwright, Web testing, and API testing is good to have
- Experience integrating automation into CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar platforms
- Experience working in Agile environments with multiple teams contributing to shared releases
- Strong understanding of release management, quality governance, and regression optimization
- Excellent stakeholder management, communication, leadership, and problem-solving skills
- Experience in large-scale retail/eCommerce organizations preferred
- Experience leading QA transformation initiatives preferred
- Experience leveraging AI-enabled testing preferred
Benefits
Comp & perks- Comprehensive benefits to support you and your family
- Opportunities to grow and build a career
- Investment in associate well-being
- Continuous learning environment
- Opportunities to work on cutting-edge technologies, AI-driven solutions, and large-scale engineering challenges
- Hybrid work model designed for flexibility and collaboration
- Two in-office days for team engagement