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
Software Engineer II
The Business Experimentation and Optimization (BE&O) teams within Mastercard’s Services organization are building industry-leading software that empowers business users around the world to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients.
We are seeking a technically strong Software Development Engineer to contribute to the architecture, design, and development of our next-generation experimentation platform. In this role, you will work closely with other team members to help implement and evolve system designs, ensuring solutions meet high engineering standards. You will build and enhance scalable services, APIs, and analytical capabilities that power the platform, leveraging technologies such as Databricks and cloud platforms including AWS and Azure.
This role involves close collaboration with your immediate team as well as other development teams across programs to align on shared goals, contribute to cross-cutting initiatives, and deliver cohesive, enterprise-grade solutions. You will participate in design and code reviews, contribute to engineering best practices, and support operational excellence. You will work effectively across global time zones, contribute to a strong engineering culture, and continuously grow your technical skills while helping the team deliver reliable, high-quality software.
Our teams are small, agile, and empowered to choose the processes that work best for their goals. Every engineer contributes to the full development lifecycle—from ideation and design to implementation and testing—fostering a culture of ownership, innovation, and continuous improvement.
What is the Services organization?
The Services team is a key differentiator for Mastercard, delivering cutting-edge solutions that help our customers grow. Focused on thinking big and scaling rapidly across the globe, this team is responsible for end-to-end solutions for a diverse, global customer base. We combine traditional management consulting with rich data assets and in-house technology to provide clients with powerful insights and tools that drive fact-based decision-making. Centered on data-driven technologies and innovation, our services include consulting, loyalty and marketing programs, business experimentation, and data-informed information and risk management. While specializing in the payments industry, Mastercard Services also partners closely with major retailers, airlines, and other enterprises, leveraging insights drawn from both within and beyond our network.
We are seeking passionate and talented engineers who share our vision of empowering customers to make smarter, data-driven decisions. Join us and help shape the future growth of our team.
Who is Mastercard?
Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, and a technology innovation lab. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you.
Position Responsibilities:
As part of Mastercard Services, you will build innovative products that help businesses around the world unlock more value from their data. As a Software Development Engineer II within BE&O, you will contribute to full-stack, data-intensive, analytics-driven applications that support sophisticated business experimentation and decision-making for some of the world’s largest organizations. You will:
Design, build, and maintain scalable full-stack applications across frontend, backend, APIs, and data-processing layers using modern technologies such as Java/Spring Boot, TypeScript, and React.
Develop and optimize data-intensive applications leveraging Databricks, Spark, and related platforms to efficiently process, transform, and serve data.
Contribute to architecture and system design, collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with engineering best practices.
Write clean, maintainable, and efficient code, applying strong practices in testing, code reviews, and continuous improvement.
Identify and resolve performance bottlenecks across services, APIs, data-processing workloads, and user experience.
Build features that support data-driven decision-making for global customers through analytics and experimentation.
Collaborate with Product, Data Engineers, QA, and other teams to translate business needs into scalable technical solutions.
Mentor and support team members while contributing to a collaborative, growth-oriented engineering culture.
Continuously learn and improve, staying current with technologies and driving enhancements in quality, scalability, and developer productivity.
Ideal Candidate Qualifications:
The ideal candidate is a collaborative, technically strong full-stack engineer who is passionate about building scalable, data-intensive software products and solving complex analytical problems. They are comfortable working across application, service, and data-processing layers and can contribute effectively in a fast-paced, agile engineering environment.
Ideal qualifications include:
3+ years of experience as a full-stack Software Engineer, with exposure to building applications using modern technologies such as Java/Spring Boot, TypeScript, and React.
Experience or familiarity with Databricks, Spark, or PySpark is highly desired, particularly for working with data pipelines or analytics-driven applications.
Foundational understanding of software engineering principles, including object-oriented programming, API design, and scalable system design, is preferred.
Interest in working with data-intensive applications, including improving performance, scalability, and reliability across services and data-processing layers.
Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
Curiosity, self-motivation, and a strong willingness to learn, with a growth mindset and interest in solving analytical, data-driven problems in an agile, fast-paced environment.
Mastercard is an equal opportunity employer that values diversity and inclusion. Applicants will be considered and treated without regard to gender, gender identity, race, color, ethnicity, national origin, religion, sexual orientation, veteran or disabled status, or any other characteristic protected by applicable law.
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.
