Manager, Software Engineering at Mastercard

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

Manager, Software Engineering

Manager, Software Engineering – Corporate Solutions

Role Overview:

Join Mastercard’s Corporate Solutions organization and play a pivotal role in shaping the future of digital B2B payments. As a Manager, Software Engineering, you will lead high-performing engineering teams to build scalable, cloud-native platforms that power seamless, data-driven payment experiences for businesses worldwide.
This role blends people leadership, full-stack engineering, and platform thinking, with a strong emphasis on operational and engineering excellence. You will drive innovation across modern architectures, data platforms, and reporting ecosystems while fostering a culture of ownership, accountability, and continuous improvement.
The role will require you to:

• Lead, mentor, and scale multiple engineering teams, fostering a culture of high performance, ownership, and continuous learning
• Partner closely with product, business, and cross-functional stakeholders to solve real customer pain points and deliver impactful solutions
• Drive end-to-end delivery of cloud-native, full-stack applications and microservices using modern frameworks and architectures
• Champion engineering excellence through best practices in system design, coding standards, testing, and secure development
• Establish and drive operational excellence, improving system reliability, availability, observability, and incident response
• Lead initiatives around cloud migration from on-premise systems, ensuring scalability, resilience, and cost efficiency
• Build and implement automation across the full stack, including CI/CD pipelines, testing frameworks, and deployment workflows
• Oversee BI and reporting platforms, ensuring scalable, high-performance, and business-aligned data solutions
• Drive development of low-latency, high-scale applications, ensuring performance optimization and responsiveness
• Promote adoption of containerized architectures and event-driven systems (e.g., Kafka)
• Manage hiring, coaching, and career development, building diverse, high-performing teams
• Drive engineering productivity, quality metrics, and continuous improvement initiatives across teams
• Collaborate on architecture, scalability, and system design, ensuring robust and future-ready platforms

Required Experiences & Skills:

• Bachelor’s degree in Engineering
• Strong foundation in Computer Science fundamentals (data structures, algorithms, system design)
• Proven experience in building and leading high-performing engineering teams
• Hands-on experience in full-stack development with technologies such as Java and Angular
• Strong experience building cloud-native applications and leading cloud migration from on-premise environments
• Experience designing and developing containerized applications
• Solid experience with event-driven architectures and streaming platforms (e.g., Kafka)
• Proven ability to build and optimize low-latency, high-scale systems
• Strong focus on performance improvements, scalability, and reliability
• Experience working with BI tools/platforms, including designing canned reports in Power BI
• Strong emphasis on operational excellence and engineering excellence
• Experience driving automation across the full stack (build, test, deployment, monitoring)
• Demonstrated ability to solve customer pain points with practical, scalable solutions
• Strong sense of ownership and accountability in driving outcomes end-to-end
• Deep understanding of modern software development practices, including microservices and APIs

Nice to have Experiences & Skills:

• Experience in migrating reporting platforms and customers to Power BI from legacy BI/reporting tools
• Exposure to or hands-on experience with Machine Learning, Deep Learning, or Generative AI technologies
• Experience working with Pivotal Cloud Foundry (PCF)
• Good understanding of WebFOCUS internals
• Familiarity with Power BI internals and performance optimization

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.