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 (Java/AI)
Overview:
Mastercard is seeking a Lead Software Engineer to join our growing Commercial Connect API team. This team is building a global B2B technology platform that empowers businesses of all sizes to manage payments more efficiently when buying or selling products and services.
As a lead engineer, you’ll be part of a collaborative Agile team working in a cutting-edge Mastercard technology hub. You will apply modern software engineering development practices with a strong emphasis on microservices architecture and scalable database development. Your contributions will help shape how Mastercard standardizes, automates, and optimizes digital payments across the global B2B landscape.
This is a hybrid position based in Sandyford, Dublin, requiring three days per week onsite.
Role:
• Lead the design, development, and deployment of high-quality Java microservices that integrate with modern front-end frameworks and third-party applications.
• Contribute to all phases of the SDLC including planning, coding, testing, reviews, and delivery.
• Collaborate closely with engineers, product managers, TPMs, and test engineers to align technical and business goals.
• Perform code reviews, submit pull requests, and support continuous improvement.
• Ensure adherence to Mastercard's engineering best practices and compliance with enterprise security, operations, and architecture standards.
• Optimize application performance and reliability for large-scale, high-traffic systems.
• Apply AI-assisted engineering opportunities across the SDLC, including code generation, test automation, and troubleshooting.
All About You:
• Extensive experience as a backend Software Engineer or Software Developer in a fast-paced, collaborative environment.
• Strong experience developing backend applications using Java and Spring Boot.
• Proven expertise in designing and developing secure, scalable microservices that handle high traffic volumes, with a strong knowledge of microservices architecture, RESTful API design, and integration patterns.
• Advanced SQL knowledge with databases like PostgreSQL, Oracle, etc., and experience building solutions that scale.
• Hands-on experience with cloud platforms such as AWS or Azure.
• Experience with CI/CD practices, containerization (Docker, Kubernetes), DevOps practices, automated testing, and version control using Git.
• Experience using AI-assisted development tools to improve engineering productivity, accelerate analysis, and generate test coverage.
• Experience working in an Agile development environment.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
• Strong analytical and problem-solving abilities, with a focus on improving processes to accelerate delivery, foster innovation, reduce costs, and improve quality.
• Bachelor’s degree in Computer Science, Engineering, or a related field. Equivalent practical experience will be considered.
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.