Software Engineer II - Java Full Stack React

Mastercard is seeking a highly skilled and motivated Software Engineer to design, develop, and evolve scalable, reliable, secure, and high-performance applications across the frontend and backend.

The ideal candidate will have strong hands-on experience with Java, Spring Boot, REST APIs, gRPC, microservices, React, relational databases, messaging, CI/CD, and cloud-native technologies.

Key Responsibilities:

• Design, develop, test, deploy, and maintain full-stack applications using Java/Spring Boot and React.
• Develop scalable and maintainable backend services using Java and Spring Boot.
• Design and implement REST APIs, gRPC services, microservices, and event-driven components.
• Develop responsive, reusable, and maintainable user interfaces using React, JavaScript/TypeScript, HTML, and CSS.
• Own software development initiatives end-to-end, from requirements and technical design through implementation, testing, deployment, and production support.
• Participate in architecture and technical design discussions with a focus on scalability, performance, availability, security, and maintainability.
• Design efficient relational database models and develop optimized SQL queries.
• Follow Test-Driven Development (TDD) and a test-first approach when developing new features and fixing defects.
• Build and maintain automated unit, integration, API, contract, and end-to-end tests across frontend and backend components.
• Leverage AI-assisted development tools such as GitHub Copilot and other approved AI coding/productivity tools to improve development speed, code quality, testing, documentation, troubleshooting, and developer productivity.

Technical Skills & Qualifications:

• Overall 3-5 of career experience as a Developer in Full Stack Development.
• Strong hands-on experience with Java 17/21+.
• Strong experience with Spring Framework / Spring Boot.
• Strong understanding of RESTful API design and microservices architecture.
• Hands-on experience with gRPC and Protocol Buffers (protobuf).
• Good understanding of gRPC concepts including service contracts, streaming, deadlines/timeouts, status codes, error handling, interceptors, and backward-compatible API evolution.
• Strong understanding of object-oriented design, SOLID principles, design patterns, and clean code practices.
• Experience with JPA/Hibernate and Spring Data.
• Strong experience with relational databases such as Oracle, PostgreSQL.
• Good understanding of SQL, database design, indexing, transactions, and query optimization.
• Experience with Apache Kafka or equivalent messaging/event-streaming technologies.
• Good understanding of multithreading, concurrency, caching, transactions, and performance optimization.
• Strong hands-on experience with React.
• Strong knowledge of JavaScript and/or TypeScript.
• Experience building responsive, reusable, component-based UI applications.
• Good understanding of React hooks, state management, component lifecycle, routing, and asynchronous API integration.
• Experience with frontend state-management solutions such as Redux, Context API, or equivalent.
• Strong understanding of HTML5, CSS3, responsive design, and browser fundamentals.
• Experience integrating frontend applications with REST and/or gRPC-backed services.
• Understanding of frontend performance optimization, accessibility, security, and browser compatibility.
• Strong practical experience with Test-Driven Development (TDD) and test-first development practices.
• Strong understanding of the Red-Green-Refactor development cycle.
• Experience writing effective unit, integration, API, contract, and end-to-end tests.
• Backend testing experience with JUnit 5, Mockito, Spring Boot Test, or equivalent frameworks.
• Frontend testing experience with Jest, React Testing Library, or equivalent frameworks.
• Experience with Playwright, or similar end-to-end testing frameworks.
• Ability to design testable code and identify appropriate testing boundaries across unit, integration, and E2E layers.
• Ability to incorporate automated tests into CI/CD pipelines and enforce quality gates.
• Practical experience using AI coding assistants and developer productivity tools such as GitHub Copilot, ChatGPT, or equivalent tools.
• Ability to effectively use AI for code generation, refactoring, test generation, debugging, documentation, code review, and technical analysis.
• Ability to write effective prompts and provide appropriate context to AI tools to achieve high-quality engineering outcomes.
• Ability to validate, review, and improve AI-generated code rather than relying on AI output without engineering judgment.
• Understanding of responsible AI adoption, including data privacy, security, intellectual property, confidentiality, and organizational AI usage policies.
• Willingness to continuously evaluate and adopt emerging AI-assisted engineering practices that improve developer productivity and software quality.