Join Mastercard, a global leader powering economies and empowering people across 200+ countries. We are building a sustainable and inclusive digital economy, making transactions secure, simple, smart, and accessible. Our innovative technology and extensive network enable individuals, businesses, and governments to achieve their greatest potential.

Payments Network Technology is seeking a talented Lead Software Engineer to design, build, and support robust, scalable, and highly available payment network solutions. This role leverages modern technologies including Java, Spring Boot, Kafka, and event-driven architecture within a cloud-native engineering environment.

Key responsibilities include designing, developing, testing, deploying, and supporting software services. You will build Java and Spring Boot microservices, REST APIs, and Kafka-based integrations. A strong emphasis is placed on applying object-oriented design, SOLID principles, reusable patterns, and secure coding practices. You will also create and participate in various testing phases, troubleshoot production issues, and contribute to CI/CD pipelines and observability.

This role involves collaborating with cross-functional teams, including product, architecture, testing, and operations. You will provide technical leadership, mentor team members, and drive critical decisions across multiple workstreams. Experience with AI-assisted engineering tools like GitHub Copilot and Claude CLI is also required to enhance development efficiency.

Ideal candidates possess hands-on experience with Java and Spring Boot development, microservices, REST APIs, and Kafka or similar messaging platforms. A solid understanding of event-driven architecture, object-oriented design, and secure coding is essential. Familiarity with SQL/NoSQL databases, Git, automated testing, CI/CD, containers, and cloud-native platforms is required.

We seek individuals with a Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience. Experience in Agile environments and across the software development lifecycle is crucial. Excellent communication, collaboration, problem-solving, and stakeholder management skills are necessary. Experience with AI-assisted engineering tools is a must, and knowledge of the payments or financial services domain is preferred.