Responsibilities:

• Define and drive the overall Quality Engineering strategy, ensuring alignment with business and technology objectives.
• Lead test planning, quality reviews, risk assessments, and release readiness activities across multiple projects and teams.
• Design and implement comprehensive test strategies covering data validation, data integrity, integration testing, performance testing, and end-to-end business workflows.
• Establish and evolve automation-first testing practices, including data validation frameworks, regression automation, and continuous testing capabilities.
• Drive adoption of AI-assisted testing, and agentic QA solutions to improve testing efficiency, coverage, and scalability.
• Define and monitor key quality metrics (e.g., defect leakage, test coverage, automation coverage, deployment quality, and release readiness) and use data-driven insights to drive continuous improvement.
• Collaborate with architects, developers, product owners, business teams, and project managers to embed quality throughout the software development lifecycle.
• Lead release governance activities, including quality gates, deployment readiness reviews, go/no-go decisions, and production validation strategies.
• Build and mentor a high-performing team of Quality Engineers by providing technical leadership, coaching, and career development support.
• Partner with delivery teams to identify opportunities for quality improvements, process standardization, and operational excellence.

Requirements:

• A Bachelor’s Degree or equivalent qualification.
• 6-7+ years of experience in Quality Engineering, with at least 2+ years in a QE Lead, Associate Lead, or similar leadership role.
• Proven experience defining and executing enterprise-scale test strategies for data platforms, integrations, APIs, and distributed systems.
• Strong experience with test automation frameworks and automation-first delivery models.
• Experience in Data Quality Testing, ETL Testing, Data Migration Testing, Database Testing, and Data Validation frameworks.
• Experience designing and implementing automation solutions using Java, Python, or similar programming languages.
• Strong understanding of CI/CD pipelines and tools such as Jenkins, GitHub Actions, Git, Maven, SonarQube, and related platforms.
• Experience in performance engineering and performance testing tools.
• Strong knowledge of software testing processes, practices and test design techniques.
• A solid practical understanding of Agile Software Testing and Software Engineering concepts.
• Excellent communication, presentation, and negotiation skills.
• Excellent analytical and problem-solving skills.
• Professional certifications such as ISTQB, PMI-ACP or CSM (Certified Scrum Master) would be an added advantage.
• Thirst for learning and regularly updating knowledge.