Top Tech Jobs & Startup Jobs in Dublin

Lead architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, delivery coordination, reliability, security, observability, and continuous improvement. Mentor engineers and collaborate across product, data science, QA, security, operations, and globally distributed engineering teams.

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.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendations, fraud detection, embeddings, and foundation-model applications. Defines experimentation frameworks and success metrics, drives projects from conception through production, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. Contributes to hiring, capability development, and the organization’s long-term technical direction.

Leads the design, development, deployment, and evaluation of advanced machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies embeddings and foundation-model techniques, measures business impact, and partners with business, product, engineering, and analytics teams. Mentors data scientists and AI engineers, influences technical direction, presents findings to leadership, and contributes to hiring and capability development.

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.