Join Mastercard's Services organization as a Senior Software Engineer within the Business Experimentation and Optimization (BE&O) team. You will be instrumental in developing cutting-edge software that empowers business users globally through advanced analytics and experimentation. This role offers the opportunity to contribute to the evolution of our technology stack and the creation of scalable, cloud-native solutions.

We are building industry-leading platforms that enable data-driven decision-making. As part of an agile and empowered team, you'll influence the entire development lifecycle, fostering a culture of ownership and innovation. This is a chance to be part of a global technology leader that powers economies and empowers people worldwide.

As a Senior Software Engineer, you will design, build, and maintain scalable full-stack applications across frontend, backend, APIs, and data-processing layers using technologies like Java/Spring Boot, TypeScript, and React. You will develop and optimize data-intensive applications using Databricks and Spark, contributing to architecture and system design while adhering to engineering best practices.

Key responsibilities include writing clean, maintainable code, identifying and resolving performance bottlenecks, building features for data-driven decision-making, and collaborating with cross-functional teams. You will also mentor team members, drive continuous learning, and support operational excellence within a global engineering culture.

We are seeking a technically proficient full-stack Software Engineer with over 5 years of experience, adept at building scalable, data-intensive software products. A strong foundation in object-oriented programming, API design, and scalable system design is preferred.

Ideal candidates possess experience with Java/Spring Boot, TypeScript, and React, along with familiarity with Databricks, Spark, or PySpark. Excellent collaboration and communication skills are essential for working effectively with diverse, cross-functional teams. A curious, self-motivated individual with a growth mindset, eager to solve complex analytical problems in a fast-paced, agile environment, will thrive here.