Top Engineering Jobs in Dublin

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include software development, production support, feature planning, code reviews, system integration, and technical guidance for junior engineers. The role requires expertise in Java, Spring, Kafka, SQL, Linux, cloud platforms, microservices, and Agile development processes.

Build and lead scalable full-stack, data-intensive, analytics-driven applications for Mastercard Services. Responsibilities include system design, distributed systems, APIs, Databricks and Spark development, AI-powered products and agentic workflows, performance optimization, cloud deployment, reliability improvements, technical mentoring, code reviews, testing, security, observability, and cross-functional solution delivery.

Designs and develops scalable full-stack, distributed, data-intensive, and AI-powered applications. Leads system design, builds analytics and agentic workflows using Databricks, Spark, and LLM technologies, resolves performance and reliability issues, and translates business needs into secure technical solutions. The role also involves mentoring engineers, conducting design and code reviews, improving CI/CD and observability, supporting cloud-native production systems, and collaborating across teams.

Lead development of high-performance, high-volume Java applications and backend and consumer-facing platform features. Responsibilities include direct software development, production incident support, feature planning, code reviews, technical guidance for junior engineers, and collaboration with technical, business, and systems teams. The role requires expertise in Java, cloud development, microservices, Spring, Kafka, Linux, SQL, and related enterprise technologies.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include developing resilient distributed systems, REST APIs, microservices, event-driven applications, and data-intensive solutions; contributing to architecture, testing, deployment, monitoring, and operational excellence; troubleshooting production issues; collaborating in Agile teams; and applying AI-assisted engineering practices throughout the software development lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven applications; contributes to architecture, testing, deployment, monitoring, troubleshooting, and operational excellence. Collaborates with product, architecture, quality, and engineering teams in Agile environments while applying automation, cloud-native practices, and AI-assisted development to improve platform reliability and scalability.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven solutions; contributes to architecture, testing, deployment, monitoring, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, improves engineering practices, and uses AI-assisted development throughout the software lifecycle.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Responsibilities include building resilient distributed systems, REST APIs, microservices, event-driven solutions, and cloud-native applications; contributing to architecture, testing, deployment, monitoring, and operational excellence; troubleshooting production issues; collaborating in Agile teams; evaluating technologies; and applying AI-assisted engineering practices.

Lead development of high-performance Java applications and backend and consumer-facing platform features. Provide direct software development, production support, incident resolution, code reviews, technical guidance, and feature planning. Collaborate with technical leads, engineers, analysts, and business stakeholders to define requirements and deliver cloud-based microservices solutions. Integrate vendor and open-source products while ensuring software quality and security practices.

Designs and delivers Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Builds resilient distributed systems, REST APIs, microservices, and event-driven solutions; contributes to architecture, testing, deployment, observability, and operational excellence. Collaborates with product, architecture, quality, and engineering teams, troubleshoots production issues, drives automation and continuous improvement, and applies AI-assisted development practices.