Role Overview
The Core Payments department is hiring a highly motivated Software Engineer II with a passion for Artificial Intelligence, Machine Learning, and Generative AI technologies. This role is responsible for designing, developing, testing, deploying, and maintaining scalable software solutions that leverage AI capabilities to solve business problems, improve operational efficiency, and create innovative customer experience.
About Mastercard
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
Key Responsibilities
- Design, develop, test, deploy, and maintain scalable software applications and services.
- Build APIs, microservices, and distributed systems that integrate with AI and Machine Learning capabilities to support business-critical applications.
- Write clean, maintainable, reusable, and well-documented code following engineering best practices.
- Apply software design principles and architectural patterns to develop scalable and reliable solutions.
- Collaborate with product managers, architects, developers, and business stakeholders to deliver high-quality software solutions.
- Implement CI/CD pipelines for AI applications and software services.
- Automate testing, deployment, monitoring, and operational support processes.
- Ensure high availability, security, and performance of AI-enabled applications
Requirements & Eligibility
- Proficient experience developing backend software applications with JAVA/ J2EE in Spring Boot frameworks for building and consuming RESTful APIs and event-driven architectures.
- Knowledge of Microservice architecture
- Proficient knowledge and experience working with SQL and Relational Data Concepts
- Experience designing and building scalable software applications and distributed systems.
- Proficient knowledge of software design principles, object-oriented programming, and software architecture patterns.
- Experience with source control systems, code review processes, and modern development practices.
- Experience applying data structures, algorithms, and computational problem-solving techniques to develop efficient, scalable software solutions.
- Experience implementing automated testing and CI/CD practices.
Required Skills & Tech
JavaJ2EESpring BootRESTful APIsMicroservicesSQLCI/CDCloud-nativeContainerizationAI/ML