Top Tech Jobs & Startup Jobs in Dublin

Lead performance and availability engineering for a high-throughput Decision Management payments platform. Design and run performance tests, troubleshoot issues, capacity plan, partner with architects and engineers, and embed performance engineering early in delivery to ensure scalability, reliability, and business requirements are met.

Lead development of scalable streaming and aggregation solutions using Java/Go, Spark/Scala, Kafka and Hadoop ecosystem; build microservices with Spring Boot, integrate relational and NoSQL data stores, follow CI/CD and Agile practices, document designs, and ensure application security.

Lead customer discovery and design pilots/proofs-of-concept that combine Mastercard and external data to validate solutions. Partner with Product and Engineering to translate findings, measure ROI and adoption, build business cases and playbooks, and maintain strategic customer relationships to drive commercialization.

Lead performance and availability engineer for a high-throughput transaction platform. Design and run performance tests, troubleshoot issues, model capacity, partner with architects and engineers to ensure scalable, highly available systems and implement recommendations to meet business requirements.

The Lead AI Engineer will develop advanced AI solutions, mentor a team, and oversee machine learning initiatives, ensuring data readiness and translating stakeholder needs into AI-driven solutions.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.

Lead AI initiatives: architect and deploy scalable ML systems, translate stakeholder needs into AI solutions, oversee data integration and model performance, deliver AI-driven insights, and mentor engineers and data scientists.

Lead development and delivery of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data integration and model deployment, mentor and review junior engineers, and manage performance and post-implementation reviews.

Lead design, development, and deployment of scalable AI/ML solutions. Translate stakeholder needs into models, oversee data preparation, mentor engineers, deliver production systems, and conduct performance reviews.

Lead and deliver end-to-end AI/ML solutions: design, build, deploy, and tune models; integrate and prepare data; translate stakeholder needs to technical solutions; mentor and review junior engineers; manage project timelines, budgets, and post-implementation reviews.