Job Title: Sr. QA Engineer
Location: Onsite (US) – 350 Mission St, San Francisco, CA 94105
Exp :- 11+
Role Overview
We are seeking a Sr. QA Engineer to drive end-to-end Quality Engineering for E-commerce and Digital platforms. This role will lead QA strategy, execution, and governance across web, mobile, and backend services, operating in a distributed onsite–offshore model. The ideal candidate will bring strong leadership, hands-on automation experience, and the ability to align QE outcomes with business goals.
Key Responsibilities
Lead QE efforts across E-commerce (web/mobile) and digital platforms, ensuring high-quality releases
Own test strategy, planning, execution, and reporting across multiple PODs/scrum teams
Drive onsite–offshore coordination, ensuring seamless communication, prioritization, and delivery
Establish and enforce automation-first approach (UI, API, and regression suites)
Collaborate with Product, Engineering, and Business teams forrequirement clarity and test coverage
Define and track QE metrics (defect leakage, automation coverage, cycle time, release quality)
Ensure CI/CD integration of test suites and quality gates
Lead defect triage, RCA, and continuous improvement initiatives
Support UAT, production validation, and release sign-offs
Mentor and guide QA team members across onsite and offshore locations
Required Skills & Experience
8+ years in Quality Engineering with2+ years in Test Lead role
Strong experience in E-commerce/Digital platforms (high traffic, customer-facing systems)
Hands-on experience in test automation (Selenium, Playwright, Cypress, or similar)
Strong understanding of API testing(Postman, RestAssured, etc.)
Experience working in Agile/Scrum environments
Proven experience managing onsite–offshore delivery models
Familiarity with CI/CD tools (Jenkins, GitHub Actions, etc.)
Strong knowledge of test management tools (TestRail, Jira, etc.)
Excellent stakeholder communication and leadership skills
Good to Have
Experience in retail domain (beauty/fashion/e-commerce)
Exposure to performance testing and observability tools
Understanding of AI-driven QE or test optimization approaches
Experience with service virtualization and contract testing
Key Success Metrics
Improved release quality and reduced defect leakage
Increased automation coverage and regression efficiency
Faster cycle times and stable releases
Effective onsite–offshore collaboration and delivery predictability