Software Engineer II
Mastercard (company site, opens in a new tab)2+ yrsPuneOn-siteDirect career pageEst. 15–28 LPA
Posted 12h ago
Reach people at Mastercard
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mastercard you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and deploy scalable Java microservices and APIs for enterprise payment solutions.
- Build and maintain event-driven architectures using Apache Kafka and optimize Oracle database solutions including SQL and data modeling.
- Collaborate with product, analytics, and business teams to integrate data pipelines and support reporting and analytics platforms at enterprise scale.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.
- Minimum 2 years of professional software development experience.
- Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, Apache Kafka, and Oracle database development including SQL and PL/SQL.
- Experience with cloud deployment platforms (PCF, Kubernetes, Docker), CI/CD pipelines, Git, and integrating data with analytics platforms such as Power BI.
Ideal Candidate Profile
- Experienced in building scalable, secure, and maintainable software operating at enterprise scale with event-driven and cloud-native architectures.
- Familiarity with Agile development environments and modern AI-assisted development tools to improve code quality and productivity.
- Exposure to financial services or payments domain and data engineering, analytics, or business intelligence platforms is advantageous.