Join Mastercard as a Senior Software Engineer and contribute to building scalable, resilient, and cloud-native distributed systems. This role is perfect for an expert in Java and modern backend technologies, with a solid grasp of event-driven architectures, cloud platforms, and containerization. You'll leverage emerging AI-driven development practices to enhance productivity and code quality.

Mastercard is a global leader empowering economies and people across 200+ countries. We are dedicated to building a sustainable economy where everyone can thrive, offering secure, simple, and smart digital payment solutions.

Design, develop, test, and deploy enterprise-grade microservices using Java and Spring Boot. Build highly scalable and resilient APIs and backend services, implementing event-driven solutions with Kafka. Develop cloud-native applications on PCF and containerized environments. Actively participate in architecture discussions and technical design reviews.

Drive software quality through automated testing, code reviews, and best practices. Collaborate with cross-functional teams to deliver secure payment solutions. Utilize AI-assisted development tools and agentic coding for improved productivity, quality, and documentation. Troubleshoot and resolve complex production issues with a focus on reliability.

Requires strong proficiency in Java (8+ years preferred) and expert knowledge of Spring Boot, Spring Framework, RESTful Services, JPA/Hibernate, and Multithreading. A solid understanding of Object-Oriented Design and Design Patterns is essential.

Possess hands-on experience with Kafka and building asynchronous, event-driven architectures. Familiarity with reliability patterns like Outbox Pattern, Retry Mechanisms, Idempotency, and Dead Letter Queues is required. Experience with PCF, Docker, cloud-native application development, and container orchestration (Kubernetes/OpenShift) is crucial.

Demonstrate strong SQL skills and experience with relational databases like Oracle or PostgreSQL, including performance tuning. Proficiency in Test-Driven Development, unit, integration, and API testing, along with secure coding practices and API security (OAuth2, OIDC, JWT) is expected.

Experience with AI-assisted engineering tools such as GitHub Copilot for code generation, testing, and debugging, and an ability to leverage these tools while maintaining quality and security standards are key.