Lead QA/Test Automation Engineer

Job Description

Job Description What is the Opportunity? We are seeking a highly skilled Lead QA/Test Automation Engineer with expertise in automation testing and AI-driven quality solutions to lead innovation in our Core and Realtime Payments QE team. This role will spearhead the design and implementation of advanced automation frameworks, drive proof-of-concept (POC) initiatives, and integrate AI/ML technologies to elevate test coverage, efficiency, and delivery speed. The ideal candidate will collaborate with cross-functional teams to embed quality engineering practices within our DevOps pipeline while mentoring onshore and offshore team members. What will you do? Automation Leadership: Architect, develop, and maintain scalable automation frameworks for web, mobile, and API testing (e.g., Selenium, Appium, Playwright, Cypress). AI/ML Integration: Lead POCs to evaluate and implement AI-driven solutions, including intelligent test case generation, defect prediction, and test optimization . CI/CD Enablement: Ensure seamless integration of automation into DevOps pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps . Technical Innovation: Develop custom utilities, libraries, and plugins to enhance automation capabilities and efficiency. Quality Advocacy: Conduct code/test reviews, enforce best practices, and mentor teams on advanced automation and AI/ML concepts. Data-Driven Insights: Analyze test results, identify trends, and provide actionable recommendations using data analytics and visualization tools . Cross-Functional Collaboration: Partner with development, QA, and DevOps teams to align on quality goals and improve processes. This role requires strong problem-solving skills, a passion for quality engineering, and the ability to influence technical and business stakeholders. What do you need to succeed? Must-have Expertise in programming languages: Python, Java, or C#. Proven experience designing and implementing custom automation frameworks. Deep knowledge of automation tools (Selenium, Appium, Playwright, Cypress) and CI/CD pipelines. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI into test automation. Strong understanding of cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and RESTful API testing. Analytical mindset with proficiency in data analytics and reporting tools (e.g., Tableau, Power BI). Nice-to-have Experience with NLP, computer vision, or generative AI applied to testing. Contributions to open-source automation/AI projects. Advanced degree in Computer Science, Engineering, or a related field. What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. Lead cutting-edge initiatives at the intersection o

Required Skills