Top Engineering Jobs in Dublin

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven solutions. Collaborate with product, architecture, quality, and engineering teams across the software lifecycle, including testing, deployment, operations, and troubleshooting. Contribute to technical design, automation, continuous improvement, observability, and engineering standards while applying AI-assisted development practices.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, and event-driven applications; collaborate with product, architecture, and quality teams; contribute to design, testing, deployment, documentation, and operational excellence. Troubleshoot production issues, improve engineering practices, evaluate technologies, and apply AI-assisted development throughout the software lifecycle.

Design and deliver Java-based capabilities for Mastercard’s high-scale Decision Enrichments platform. Build secure, resilient distributed systems and RESTful microservices, collaborate with cross-functional Agile teams, contribute to architecture and testing, troubleshoot production issues, improve automation and engineering practices, and apply AI-assisted development throughout the software lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient, secure distributed systems, APIs, microservices, and event-driven solutions; contributes across architecture, implementation, testing, deployment, and operations. Collaborates with product, architecture, quality, and engineering teams; troubleshoots production issues, improves platform capabilities, documents technical designs, and applies AI-assisted engineering practices. The role supports real-time decisioning for fraud prevention, risk management, payment intelligence, and customer experiences.

Design and deliver Java-based capabilities for Mastercard’s Decision Enrichments platform. Build scalable, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with product, architecture, quality, and engineering teams throughout design, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply engineering best practices, and use AI-assisted development practices. The role requires technical leadership, enterprise-scale software expertise, and a focus on secure, high-performance payment decisioning systems.

Design and deliver Java-based capabilities for Mastercard’s scalable Decision Enrichments platform. Build resilient distributed systems, REST APIs, microservices, and event-driven applications; contribute across architecture, implementation, testing, deployment, and operations. Collaborate with product, architecture, quality, and engineering teams, troubleshoot production issues, improve automation and engineering practices, and produce technical documentation. Apply AI-assisted development practices while helping shape secure, high-performance decisioning platforms for fraud prevention, risk management, and payment intelligence.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with cross-functional Agile teams, contribute to architecture and technical designs, ensure quality through testing and CI/CD, troubleshoot production issues, and drive automation and engineering improvements. Apply AI-assisted development practices while supporting high-performance, mission-critical payment decisioning systems.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven applications. Collaborate with product, architecture, quality, and engineering teams throughout design, development, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply automation and DevOps practices, document technical designs, and use AI-assisted engineering across the software development lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds secure, resilient distributed systems, RESTful microservices, and event-driven applications; contributes to architecture, testing, deployment, observability, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, improves platform capabilities, and applies AI-assisted engineering practices. The role requires hands-on development, technical leadership, enterprise-scale engineering, and continuous improvement.

Lead technical design and implementation of scalable, secure microservices-based platforms. Drive architecture decisions, mentor engineers, perform code reviews, resolve complex production issues, collaborate cross-functionally, and evaluate/employ AI-enabled solutions and PoCs to modernize enterprise systems.