Senior Test Engineer (Mobile and Connected Vehicle Services & UI/UX)

• *Job Requirements**

• *Senior Test Engineer (Mobile and Connected Vehicle Services \& UI/UX)**

• *Experience**: 8\-14 years \| **Location**: Hyderabad/Bengaluru, India \| **Positions**: 1

• *Role Summary:**

Lead quality assurance activities for Mobile and Connected Vehicle Services applications across Android and iOS platforms. The role is responsible for defining and executing quality strategies, test planning, test automation, defect management, release validation, and user acceptance support.

The resource must possess strong expertise in mobile application testing and a good understanding of UI/UX principles, usability, accessibility, and mobile design best practices. The role requires hands\-on use of AI tools to improve testing productivity while ensuring that all AI\-generated outputs are reviewed, validated, and compliant with quality, security, and business requirements.

• *Key Responsibilities:**

• Lead quality assurance activities across the complete software development lifecycle.
• Define test strategies, test plans, test cases, regression suites, and release validation processes.
• Perform functional, integration, system, regression, exploratory, and user acceptance testing.
• Execute testing across Android and iOS devices covering multiple device models, screen sizes, and OS versions.
• Design, develop, and maintain automated testing frameworks and test suites.
• Manage defect lifecycle activities including defect identification, triage, reporting, prioritization, and closure validation.
• Partner closely with Product Owners, Business Analysts, and Specification Owners to clarify requirements and improve test coverage.
• Review business requirements, user stories, acceptance criteria, and technical specifications to ensure testability and completeness.
• Support release planning, production validation, and quality sign\-off activities.
• Validate UI implementation against approved designs, design systems, usability principles, and accessibility standards.
• Provide recommendations to improve user experience, user journeys, consistency, responsiveness, and overall application usability.
• Develop quality metrics, test dashboards, status reports, and quality assessments for stakeholders.
• Leverage AI tools for test case generation, test design, test data preparation, defect analysis, requirements review, documentation, reporting, and productivity improvements.
• Review and validate AI\-generated test cases, automation scripts, reports, and recommendations to ensure accuracy, completeness, security, compliance, and quality standards are met.
• Ensure human oversight and accountability for all AI\-assisted quality assurance activities.

• *Required Skills:**

• 8\+ years of experience in software quality assurance and testing.
• Strong experience leading mobile application testing programs across Android and iOS platforms.
• Extensive experience in manual testing, exploratory testing, regression testing, integration testing, and UAT support.
• Strong experience developing and executing mobile test automation strategies.
• Experience with mobile automation frameworks such as Appium, Espresso, Selenium, or equivalent tools.
• Strong understanding of software testing methodologies, defect lifecycle management, and quality engineering practices.
• Experience with API testing, integration testing, and backend validation.
• Good understanding of UI/UX principles, user\-centered design, usability testing, accessibility requirements, and mobile design best practices.
• Ability to review wireframes, prototypes, and user flows from a quality and usability perspective.
• Experience working closely with Product Owners, Business Analysts, Developers, Architects, and UX teams.
• Experience with Agile, Scrum, SAFe, and DevOps delivery environments.
• Hands\-on experience using AI tools for test case generation, requirement analysis, test automation support, defect analysis, documentation, and reporting.
• Demonstrated ability to review, validate, and govern AI\-generated testing artifacts before implementation.
• Ability to assess AI\-generated outputs for test coverage, business correctness, security implications, compliance requirements, and quality standards.
• Strong analytical, problem\-solving, communication, and stakeholder management skills.

• *Good to Have:**

• Experience in connected vehicle, mobility, telematics, IoT, or digital services platforms.
• Experience with performance testing and mobile security testing.
• Familiarity with cloud\-based device farms and mobile testing platforms.
• Experience with accessibility compliance standards and usability assessment frameworks.
• Experience implementing AI\-assisted quality engineering practices and governance processes.

• *Education:**

Bachelor's or master's degree in computer science, Quality Engineering, Human Computer Interaction or related field.