Lead Software Engineer at Mastercard in Atlanta, GA

  • Company: Mastercard
  • Location: Atlanta, Georgia
  • Salary: $140K – $231K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-08-14

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Job description

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: Interested in building the next generation platform that empowers end-to-end marketing campaign management inclusive of audience targeting, campaign execution, and measurement? Our platforms operate at global scale, processing massive volumes of data and enabling data-driven marketing solutions across markets worldwide. The overarching goal of data-driven marketing is to deliver the right content, to the right person, at the right time. We are looking for individuals who are passionate about reimagining products, features, and services at scale while helping shape the future of digital marketing technology. If you wish to be part of this Priceless® experience, read below. The Marketing Services (MS) Technology team is looking for a Lead Software Development Engineer (Technical Lead) to provide technical ownership, with an emphasis on engineering efficiency, on-time delivery, innovation, and an outstanding experience for our customers. The ideal candidate is passionate about architecting and building highly available, large-scale platforms using modern engineering practices. You will work across technologies including Java, Spring Boot, React, GraphQL, Databricks, AWS, Spark, Hadoop, real-time data processing frameworks, and cloud-native architectures. Our teams leverage GenAI and Agentic AI capabilities throughout the product development lifecycle to accelerate delivery, improve quality, strengthen automation, and drive engineering effectiveness. This role provides an opportunity to lead innovative solutions while helping drive Mastercard's cloud transformation journey and the future of intelligent marketing platforms. Role: In this role, you will: • Provide technical leadership and expertise for architecting new platform capabilities. • Lead teams comprising dynamic UI developers, full-stack engineers, and data engineers to build highly available, large-scale, and fault-tolerant platforms. • Be responsible for assessing technologies and approaches for integrating backend data services with user interfaces. • Work closely with team members from across Mastercard to identify functional and system requirements. • Understand complex application and data flows and bridge the gap between technical and business requirements. • Drive engineering best practices across software quality, automation, observability, reliability, and performance. • Design & develop REST APIs and web services using Java, Spring Boot, and modern cloud-native technologies. • Champion adoption of GenAI, Agentic AI, automation, and modern cloud engineering practices across the software development lifecycle. • Drive platform modernisation initiatives supporting Mastercard's cloud transformation strategy, including AWS and Databricks-based solutions. All About You: The ideal candidate for this position is expected to: • Provide technical thought leadership and expertise for architecting new platform capabilities. • Be hands-on with Java, Spring Boot, and distributed service architectures (REST APIs). • Be familiar with modern web development technologies including React and/or Angular, NodeJS, GraphQL, etc. • Be familiar with Big Data and analytics technologies such as Databricks, Hadoop, Spark, Python, Scala, and cloud-based data platforms. • Have experience working with real-time or near real-time data ingestion and processing systems. • Be skilled at architecting large and complex distributed platforms. • Under

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