QA - Mobile App Manual And Automation Tester

We are seeking a detail-oriented and innovative QA Tester with expertise in automated testing for mobile applications, web platforms, backend APIs, and SDKs. The ideal candidate will have a proven background in mobile app and API testing,particularly in validating SDKs and ensuring a seamless developer experience for software integrations. Additionally, the candidate will bring knowledge of AI-driven testing approaches, leveraging machine learning and intelligent test automation to enhance test coverage, accuracy, and efficiency. Responsibilities: Analyze user requirements and design test cases aligned with functional and non-functional needs. Develop, maintain, and execute automated test scripts for mobile apps (iOS and Android), web applications, SDK APIs and backend APIs. Apply AI-based testing tools and frameworks to optimize test case generation, defect prediction, and regression coverage. Perform manual exploratory testing, enhanced with AI-assisted analytics to identify usability gaps and hidden defects. Design, develop, and execute automation scripts using tools like Appium, Selenium, Postman, and AI-enabled platforms. Identify, record, document thoroughly, and track bugs using intelligent bug-tracking workflows. Collaborate closely with developers and product owners to ensure quality throughout the SDLC. Conduct pre-release and post-implementation validation, including AI-driven anomaly detection. Maintain detailed documentation of test results, leveraging AI dashboards for trend analysis Analyze application performance under varied conditions and document insights. Stay up-to-date with emerging testing tools, AI-driven test strategies, and industry best practices. Work effectively with offshore team leaders across diverse geographies. Communicate clearly with team members and stakeholders to ensure timely resolution of issues. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. Proven experience in mobile automation testing using Appium and Selenium. Good understanding of SDLC and QA methodologies. Experience with API testing tools like Postman; familiarity with AI-based API testing approaches. Proficiency in programming such as Java or Python. Familiarity with CI/CD tools and processes. Excellent problem-solving skills and attention to detail. Good communication and collaboration skills. Required Skills: Mobile & Web Platforms: Experience with iOS (Xcode) and Android (Android Studio) environments. Automation Testing: Expertise in Appium, Selenium, and AI-powered automation tools. Manual Testing: Ability to perform thorough manual testing, supported by AI-driven defect prediction and risk analysis. Testing Tools & AI-Driven Quality Engineering: Advanced proficiency with industry-standard testing and quality management tools, including JIRA, TestRailfor test planning, execution, defect tracking, and network analysis. Experience leveraging AI-enhanced testing and test management platforms to improve quality outcomes, streamline workflows, and accelerate release cycles. Demonstrated ability and enthusiasm to evaluate, adopt, and champion emerging AI-powered quality engineering solutions—such as GitHub Copilot intelligent test automation frameworks, Appium AI capabilities, and machine learning-assisted testing tools—to increase test coverage, enhance defect detection, improve maintenance efficiency, and drive continuous innovation in the QA process. Database Knowledge: Basic understanding of SQL and NoSQL databases API Testing: Experience with Postman, SoapUI, and AI-based API validation tools. AI in QA: Familiarity with AI/ML concepts applied to testing, such as intelligent test case generation, predictive analytics for defect detection, and natural processing for test script creation