Top Tech Jobs & Startup Jobs in Dublin

Lead architecture, design, development, and delivery of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and modern delivery practices. Drive modernization, technical strategy, design reviews, code quality, security, reliability, and observability. Coordinate globally distributed teams, collaborate with product and technical partners, mentor engineers, and deliver secure, high-performance software across the full development lifecycle.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive technical strategy, system design, engineering standards, code reviews, and delivery across global teams. Mentor engineers and improve scalability, reliability, observability, security, and developer productivity through modern software practices.

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, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply engineering best practices, and use AI-assisted development practices. Contribute technical leadership, documentation, automation, observability, and continuous improvement for mission-critical payment decisioning systems.

Design and deliver Java-based capabilities for Mastercard’s large-scale decisioning platform. Build secure, resilient distributed systems, REST APIs, microservices, and event-driven solutions. Collaborate with product, architecture, business analysis, and quality teams throughout design, development, testing, deployment, and operations. Troubleshoot production issues, improve platform architecture, apply engineering best practices, and use AI-assisted development practices. Provide technical leadership while supporting continuous improvement and operational excellence.

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.