Senior Software Engineer

Our Purpose

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. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer

Senior Software Engineer – AI & Decision Product Enablement (Decision Enrichments)
Overview
At Mastercard, we are building the next generation of intelligent decisioning platforms that power fraud prevention, risk management, payment intelligence, and customer experiences at global scale.
The AI & Decision Product Enablement (AI & DPE) – Decision Enrichments team in Dublin is looking for an exceptional Senior Software Engineer to help shape the future of real-time decisioning. Our platforms process billions of transactions and data signals, enabling critical decisions across Mastercard's global network.
This is an opportunity to work on highly scalable distributed systems, modern cloud-native architectures, AI-enabled development practices, and mission-critical products that directly impact the safety and efficiency of the global payments ecosystem.
Why Join Us?

Build technology that protects and enables commerce at global scale
Solve complex engineering and business challenges using modern technologies
Work alongside talented engineers, architects, product leaders, and data specialists
Influence the future architecture of Mastercard's decisioning platforms
Leverage AI throughout the software development lifecycle
Help create a world beyond cash through innovation, security, and intelligent decisioning

Role
As a Senior Software Engineer, you will play a key role in designing and delivering high-performance, large-scale software solutions that power Mastercard's Decision Enrichments platform.
Responsibilities

Design and deliver innovative Java-based capabilities for Mastercard's Decision Enrichments platform.
Build highly scalable, resilient, secure, and performant distributed systems.
Collaborate within Agile teams to develop and deliver business-critical capabilities.
Partner closely with Product Owners, Business Analysts, Architects, Technical Leads, and fellow Engineers to define and deliver solutions.
Work closely with Quality Engineering teams to ensure high-quality releases.
Contribute to architecture, design, implementation, testing, deployment, and operational excellence.
Troubleshoot complex production issues and drive root-cause resolution.
Evaluate emerging technologies and recommend improvements to platform capabilities.
Drive engineering best practices, automation, and continuous improvement.
Produce technical designs and documentation aligned with Mastercard engineering standards.
Use AI-assisted engineering practices within Mastercard guidelines to maximise productivity and quality throughout the SDLC.

What We're Looking For Technical Skills

Strong software engineering expertise using Java (JDK 17+).
Experience building applications using Spring Framework and Spring Boot.
Experience designing and developing RESTful APIs and microservices.
Strong understanding of distributed systems, scalability, resilience, and fault tolerance.
Experience working with event-driven architectures and messaging platforms.
Knowledge of multithreading, concurrency, and high-performance application design.

Experience with relational databases and data-intensive applications.
Familiarity with cloud-native application development, containerisation, and modern deployment platforms.
Strong understanding of security, observability, monitoring, and operational excellence.

Experience with automated testing frameworks, CI/CD pipelines, and Dev Ops practices.
Understanding of software design patterns and clean architecture principles.
Experience using source control and collaborating in multi-developer environments.
Familiarity with Business Rules Management Systems or decisioning platforms is advantageous.
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