Lead Software Engineer

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 is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities. The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities. Role & Responsibilities Technical Leadership • Lead end-to-end delivery of complex engineering initiatives. • Define technical architecture, engineering patterns, solution roadmaps, and development standards. • Drive technical design reviews, architecture discussions, and engineering best practices. • Guide teams in building scalable, secure, resilient, and maintainable platforms. • Evaluate emerging technologies and recommend strategic adoption opportunities. • Influence technical roadmaps and long-term platform strategy. Software Engineering • Design and develop enterprise-grade backend services, APIs, and distributed systems using Java and Spring Boot. • Build scalable, high-availability microservices and cloud-native applications. • Design and implement secure, high-performance RESTful APIs and integrations. • Ensure software quality through code reviews, automated testing, and engineering governance. • Drive modernization, automation, and platform engineering initiatives. Agentic Workflows & AI Enablement • Design and implement agent-driven workflows and intelligent automation solutions. • Integrate AI powered capabilities into engineering and operational processes. • Collaborate with business and engineering stakeholders to identify AI-enabled use cases. • Establish best practices for responsible AI adoption within software delivery lifecycles. • Drive adoption of AI-assisted development practices to improve engineering productivity and quality. Cloud, Platform & Data Engineering • Design, develop, and deploy solutions on AWS. • Build reusable frameworks, platforms, and engineering accelerators.