Person Specifications

Proven ability to lead, mentor, and guide junior SQA Engineers.
Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex technical concepts.
Analytical and detail-oriented approach to identifying issues, improving processes, and delivering high-quality results.
Proactive mindset toward adopting AI, emerging technologies, and modern testing methodologies.
Willingness to explore and implement AI-powered and innovative testing solutions.
Ability to promote a culture of quality throughout the software development lifecycle.

Technical Specifications

Develop comprehensive test plans and strategies, defining testing objectives, scope, coverage, and success criteria for web, desktop, mobile, and AI-powered applications.
Lead test execution, ensuring thorough coverage and timely defect identification and resolution in collaboration with development teams.
Drive test automation and AI-assisted testing initiatives, including the development and maintenance of automated regression suites.
Identify suitable regression and automation scenarios and apply AI for test generation, script maintenance, and process improvement where appropriate.
Establish, monitor, and report key quality metrics to evaluate software quality and project progress.
Prepare and present comprehensive test reports to stakeholders.
Implement and champion SQA best practices to enhance overall product quality.
Strong knowledge of SQA methodologies, testing techniques, automation frameworks, and AI-assisted testing practices.
Hands-on experience designing and executing test cases across web, desktop, and mobile applications.
Familiarity with popular test automation frameworks and AI-powered testing tools.
Understanding of testing AI-powered applications, including accuracy, reliability, consistency, and response validation.

Compétences requises

Team Leadership and MentoringCross-functional Collaboration with Development and StakeholdersTest Strategy and Planning for web, desktop, mobile, and AI applicationsTest Execution Management and Defect ResolutionTest Automation (frameworks and automation initiatives)AI-assisted Testing (test generation, script maintenance, AI-driven improvements)Regression Test Automation (designing and maintaining automated regression suites)Test Case Design and Hands-on Execution across web, desktop, and mobileQuality Metrics Definition, Monitoring, and ReportingTest Reporting and Stakeholder PresentationSQA Methodologies and Testing TechniquesProcess Improvement and Quality Advocacy throughout SDLCTesting AI-powered Applications (accuracy, reliability, consistency, response validation)

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