Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview * Mastercard Emerging Data Signals is a global product within Mastercard responsible for the delivery of new Innovative solutions by applying the latest AI models and technologies to develop optimized solutions that accelerate business value and operational efficiency. Role * Lead the planning, design, and delivery of innovative technical solutions for global internal and external customers. * Drive innovation and research initiatives from concept through production, leveraging the latest AI models and emerging technologies to deliver optimized solutions that accelerate business value and operational efficiency. * Design and implement scalable, secure, and resilient technology architectures that align with enterprise standards and strategic objectives. * Champion automation across the software delivery lifecycle, including build, deployment, configuration, validation, monitoring, and operational support. * Collaborate closely with global engineering, data, product, and operations teams to successfully execute strategic initiatives and deliver business outcomes. * Serve as a Subject Matter Expert (SME) for Emerging Data Signals (EDS), providing technical leadership and guidance to support customer integrations and solution adoption. * Evaluate and incorporate emerging technologies, AI capabilities, and industry best practices to continuously improve platform performance, reliability, and customer experience. All About You * Strong Java or Python development expertise with a deep understanding of object-oriented design principles, software architecture, and engineering best practices. * Demonstrated experience leveraging the latest AI models, tools, and technologies to enhance software development, accelerate delivery, and improve solution quality. * Experience with one of the modern web technologies, including React, Node.js, NPM, Webpack, or Jest, is advantageous. * Passion for technical architecture and solution design, ensuring systems are scalable, secure, maintainable, performant, and adaptable to future business needs. * Proven experience working in Agile environments with globally distributed teams, delivering high-quality software through frequent production releases and continuous deployment practices. * Knowledge of API design, integration patterns, and security models, including authentication, authorization, and data protection standards, is highly desirable. * Strong problem-solving and analytical skills with the ability to balance innovation, technical excellence, and business outcomes. * Excellent collaboration and communication skills, enabling effective engagement with engineering, product, operations, and customer stakeholders across multiple regions. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

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