Software Engineer II

Software Engineer II We empower our customers businesses to succeed through innovative, trusted payment solutions that deliver a seamless digital-first experience around the world. We are transforming the industry by developing world-class travel and B2B solutions for our corporate clients globally.
Role Overview
As a Software Engineer II in Corporate Solutions at Mastercard, you will work with modern software engineering practices focused on Java microservices, event-driven architectures, data platforms, analytics solutions, and cloud-native technologies. You will build scalable enterprise solutions that help businesses streamline and optimize payment processes globally.
What Youll Do
Contribute to the design, development, testing, and deployment of scalable microservices and APIs.
Develop Java and Spring Boot based services integrated with enterprise platforms.
Build and maintain event-driven solutions using Apache Kafka.
Develop and optimize Oracle database solutions including SQL, data modeling, and performance tuning.
Support reporting and analytics initiatives through integration with Power BI and other BI platforms.
Build, maintain, and optimize data pipelines, APIs, and integrations supporting analytics and reporting platforms.
Collaborate with product, analytics, and business teams to deliver actionable insights.
Deliver secure, high-quality, maintainable software operating at enterprise scale.
Participate in code reviews, Agile ceremonies, and continuous improvement initiatives.
Follow cloud-native development and 12-factor application design principles.
Leverage modern AI-assisted development tools to improve productivity and code quality.
Required Experience & Skills
Bachelors degree in Computer Science, Engineering, Information Technology, or a related discipline.
Minimum 2 years of professional software development experience.
Strong hands-on experience with Java, Spring Boot, REST APIs, and microservices architecture.
Experience building event-driven applications using Apache Kafka.
Strong Oracle database development skills including SQL, PL/SQL, query optimization, and data modeling.
Experience with PCF, Kubernetes, Docker, or equivalent cloud deployment platforms.
Experience with CI/CD pipelines, Git, and DevOps practices.
Experience integrating data solutions with reporting and analytics platforms such as Power BI.
Familiarity with AI-powered engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies.
Understanding of software scalability, reliability, performance, and security best practices.
Experience working in Agile development environments.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
Exposure to data engineering, analytics, or business intelligence platforms.
Experience in financial services, payments, commercial cards, banking, or fintech domains.
Experience with enterprise observability and monitoring tools such as Splunk or Dynatrace.
Knowledge of distributed systems and cloud-native architectures.
Strong learning mindset and passion for emerging technologies.

• Abide by Mastercard s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.