Software Engineer II - Full Stack & AI
About The Position
The Decision Services (D&S) Technology team develops analytics, reporting, and intelligence solutions that help customers make more informed business decisions. Working closely with product and engineering partners, the team delivers capabilities that transform complex data into actionable insights for customers around the globe. As part of Mastercard's Services organization, the team is expanding its use of AI-powered capabilities to automate manual processes, improve efficiency, and enhance customer experiences. Supporting a rapidly growing product with a multi-year roadmap, this role offers the opportunity to contribute across modern full-stack, cloud, data, and AI technologies. As a Software Engineer II, you will design, build, test, deploy, and support software solutions while contributing to new product capabilities and ongoing platform enhancements. This role requires strong technical fundamentals, independent execution, and a passion for continuous learning.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
- 3-6 years developing and supporting enterprise software solutions.
- Proficiency in Java 8+ and Spring Framework, including Spring Boot.
- Demonstrated success building REST APIs and microservices-based solutions.
- Working knowledge of React, Angular, or comparable frontend frameworks.
- Knowledge of Python for automation, data processing, or AI-related use cases.
- Strong understanding of software design principles, object-oriented programming, and distributed systems.
- Ability to create and execute unit, functional, and integration tests.
- Understanding of secure coding standards and code review practices.
- Strong troubleshooting, analytical, and problem-solving capabilities.
- Proficiency in Oracle, SQL Server, or similar relational database technologies, including advanced SQL development.
- Familiarity with CI/CD pipelines and tools such as Jenkins, Maven, Gradle, SonarQube, or similar technologies.
- Exposure to AI-assisted development tools such as GitHub Copilot.
- Understanding of cloud-native architectures and microservices patterns.
- Knowledge of Agile software delivery methodologies.
- Ability to independently execute assigned work following onboarding and knowledge transfer.
Nice To Haves
- Familiarity with AWS, Azure, or GCP.
- Knowledge of Docker and Kubernetes.
- Ability to integrate AI/ML models, services, or APIs into business applications.
- Hands-on use of Python for automation, AI, or machine learning initiatives.
- Understanding of observability and monitoring platforms.
- Familiarity with IntelliJ IDEA, Visual Studio Code, Eclipse, STS, or similar development environments.
- Exposure to analytics, reporting, business intelligence, or data-driven products.
- AI model development capabilities.
Responsibilities
- Design, develop, test, deploy, and support full-stack applications and services.
- Translate business and technical requirements into scalable, maintainable solutions.
- Build REST APIs, backend services, and responsive web applications.
- Utilize Java, Spring Boot, frontend frameworks, and Python where appropriate.
- Apply data structures and programming techniques to solve technical challenges.
- Contribute to AI-enabled capabilities and automation initiatives that improve customer outcomes.
- Participate in technical design discussions and architectural reviews.
- Apply established design patterns, engineering standards, and development best practices.
- Support cloud-native, distributed, and microservices-based applications.
- Assist with integrating AI and machine learning capabilities into business solutions.
- Develop and maintain unit, functional, and integration tests.
- Apply secure coding practices throughout the software development lifecycle.
- Participate in code reviews to improve software quality and maintainability.
- Support system, integration, and user acceptance testing activities.
- Identify, troubleshoot, and resolve defects.
- Analyze and improve application performance, reliability, and efficiency.
- Support production incidents, root-cause analysis, and issue resolution.
- Contribute to observability, monitoring, CI/CD automation, and operational readiness.
- Continuously improve supportability and operational stability.
- Partner with Product Owners, Engineering, Architecture, and cross-functional stakeholders to deliver business value.
- Participate in Agile planning, estimation, and delivery activities.
- Work effectively within globally distributed teams.
- Demonstrate initiative, accountability, and a continuous learning mindset.
- Remain current on emerging technologies and industry trends.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
