Senior Quality Assurance Specialist

Key Responsibilities

• Act as the quality lead across multiple technology and digital initiatives, ensuring solutions meet business requirements, quality standards, and release criteria.
• Review business requirements, user stories, functional specifications, and technical documentation to identify test scenarios, risks, and coverage gaps.
• Develop and maintain comprehensive test strategies, test plans, test cases, and test execution schedules aligned with project objectives.
• Coordinate and execute end-to-end testing activities, including SIT, UAT, regression, and production validation, ensuring successful project delivery.
• Partner closely with Project Managers, Business Analysts, Developers, Product Owners, and business stakeholders to resolve defects, manage testing risks, and drive issue resolution.
• Monitor, track, and report testing progress, quality metrics, defects, and release readiness to project stakeholders and management.
• Provide QA advisory and governance support to internal and external testing teams, promoting best practices across the software development lifecycle.
• Drive continuous improvement in testing processes, standards, methodologies, and quality controls across Agile, Waterfall, and DevOps environments.
• Support test automation initiatives and advocate for quality engineering practices to enhance efficiency, test coverage, and delivery quality.
• Contribute to the evolution of Testing Centre of Excellence (TCoE) standards, quality frameworks, and enterprise testing practices. What We're Looking For
• Bachelor's degree in Computer Science, Information Technology, or a related discipline.
• 6+ years of experience in Software Testing, Quality Assurance, Test Management, or Quality Engineering.
• Strong understanding of SDLC, QA governance, testing methodologies, and quality assurance best practices.
• Experience delivering enterprise-scale projects in Agile, Scrum, Waterfall, and DevOps environments.
• Hands-on experience with test management and defect tracking tools such as Jira and Confluence.
• Strong knowledge of functional, integration, regression, UAT, and release testing practices.
• Exposure to test automation frameworks and quality engineering practices is highly preferred.
• Knowledge of Python and experience supporting AI-related initiatives would be advantageous.
• Excellent communication and stakeholder management skills, with the ability to work effectively across technical and business teams.