SQA Manager

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.