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The Java Engineer is a hands on executor responsible for building, testing, and operating backend services under the guidance of Senior Engineers. This role focuses on implementing Spring Boot services, CRUD workflows, and API driven features that support Commerce Media’s platform capabilities. Java Engineers at Mastercard operate with an AI first development mindset, using AI coding and reasoning tools as part of their day to day workflow to accelerate delivery, improve code quality, and deepen technical understanding—while learning when to rely on human judgment and established architectural guidance.
Job Responsibility:
Implement backend services using Java and Spring Boot following established designs, patterns, and architectural direction
Build and extend CRUD functionality backed by relational or NoSQL data stores
Develop and consume RESTful APIs as part of API driven workflows
Apply AI coding tools (e.g., GitHub Copilot, ChatGPT, Claude, similar assistants) to: Accelerate feature implementation and refactoring, Generate and improve unit and integration tests, Assist with debugging, error analysis, and code comprehension, Improve documentation and inline code clarity
Write unit and integration tests to validate correctness and prevent regressions
Partner with Senior Engineers to break down work, validate approaches, and execute features effectively
Participate in code reviews, incorporating feedback from both peers and AI assisted suggestions under senior guidance
Assist with debugging, defect resolution, and production support as needed
Follow established standards for security, observability, maintainability, and responsible AI usage
Requirements:
3–5 years of professional experience building backend applications in Java
Working knowledge of Spring Boot and RESTful service development
Experience implementing CRUD based applications with database persistence
Familiarity with API driven system design and service to service communication
Demonstrated use of AI coding assistants for development, testing, and learning
Basic understanding of database modeling and query usage
Exposure to containerized development environments (Docker)
Interest in learning observability, performance tuning, and production ownership