Senior Quality Assurance Specialist

Job description

Role Overview: We are looking for a Software Quality Lead with 8+ years of experience to lead Quality Engineering across Salesforce, web, mobile, APIs, and enterprise integrations . The role will own the quality strategy, automation, testing standards, and continuous improvement across the application landscape. Location: Gurgaon/Bangalore Key Responsibilities • Define and drive the end-to-end QA/Quality Engineering strategy across Salesforce, web and mobile applications. • Lead functional, integration, regression, API, mobile, performance, and end-to-end testing. • Design and scale test automation frameworks and integrate them into CI/CD pipelines. • Establish quality gates, release criteria, metrics, and risk-based testing practices. • Drive shift-left testing and promote quality ownership across Product, Engineering, DevOps, and Salesforce teams. • Lead the adoption of AI in testing , including AI-assisted test generation, test-data creation, intelligent regression selection, defect analysis, test maintenance, and risk identification. • Evaluate emerging Generative AI and AI-agent-based testing approaches to improve test coverage, speed, and efficiency. • Monitor quality metrics, analyze defect trends, conduct root-cause analysis, and drive continuous improvement. • Mentor QA/QE engineers and provide technical and strategic leadership. • Communicate quality risks, release readiness, and recommendations to senior stakeholders. Required Skills & Experience • 8+ years of experience in Software QA / Quality Engineering, including leadership responsibilities. • Strong experience with Salesforce application testing and enterprise integrations. • Proven experience in web and iOS/Android mobile application testing . • Strong hands-on experience with test automation, API testing, SQL, and CI/CD . • Experience with tools/frameworks such as Selenium, OpKey, Cypress, Appium , or equivalent. • Strong understanding of Agile, DevOps, SDLC, risk-based testing, and quality metrics. • Practical experience applying AI/Generative AI to software testing and QA . • Strong leadership, communication, stakeholder management, and problem-solving skills. Ideal Candidate: A quality engineering professional who can combines technical depth, leadership, automation, Salesforce expertise, and AI-driven testing practices to build a modern, scalable, and proactive quality culture.