Senior Software Engineer
Mastercard2 months ago
Dublin, IrelandSenior
Responsibilities
- Design and deliver Java-based capabilities for the Decision Enrichments platform.
- Build scalable, resilient, secure, and performant distributed systems.
- Develop business-critical capabilities in collaboration with cross-functional Agile teams.
- Contribute to architecture, technical design, implementation, testing, deployment, and operational excellence.
- Troubleshoot complex production issues and drive root-cause resolution.
- Evaluate emerging technologies and recommend platform improvements.
- Drive engineering best practices, automation, continuous improvement, and technical documentation.
- Use AI-assisted engineering practices throughout the software development lifecycle.
- Partner with Product Owners, Business Analysts, Architects, Technical Leads, Engineers, and Quality Engineering teams.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience.
- Relevant industry experience building enterprise-grade software solutions.
- Strong software engineering experience with Java and JDK 17+.
- Experience with Spring Framework and Spring Boot.
- Experience designing and developing microservices and APIs.
- Understanding of distributed systems, scalability, resilience, fault tolerance, multithreading, concurrency, and high-performance application design.
- Experience with event-driven architectures, messaging platforms, relational databases, and data-intensive applications.
- Familiarity with cloud-native application development, containerization, and modern deployment platforms.
- Understanding of security, observability, monitoring, operational excellence, automated testing, source control, and multi-developer environments.
- Experience with CI/CD pipelines, DevOps practices, software design patterns, and clean architecture principles.
- Ability to balance hands-on development with technical leadership and operate effectively in complex, high-scale environments.
- Experience with Business Rules Management Systems or decisioning platforms is advantageous.
- Experience leveraging AI tools and capabilities throughout the software development lifecycle is advantageous.
- Interest in AI, intelligent decisioning, fraud prevention, risk systems, or large-scale data platforms.
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).