Top Tech Jobs & Startup Jobs in Dublin

Design and implement high-performance, scalable Java solutions for Mastercard's Fraud Management Platform. Work in an Agile SCRUM team to define user stories, produce design documentation, troubleshoot incidents, ensure code quality and testing, and leverage CI/CD and monitoring tools.

Design and implement high-performance, Java-based fraud scoring solutions on Mastercard's Fraud Management Platform. Work in a co-located Agile SCRUM team, collaborate with product and technical stakeholders, produce design documentation, ensure quality via automated tests and monitoring, troubleshoot incidents, and apply CI/CD and AI-guided practices within Mastercard guidelines.

Design and implement high-performance, scalable Java-based capabilities for the Mastercard Fraud Management Platform. Work on an Agile SCRUM team, collaborate with product and engineering stakeholders, produce design documentation, ensure code quality with automated testing and CI/CD, troubleshoot incidents, and research technical solutions. Use monitoring tools and AI within Mastercard guidelines throughout the SDLC.

Design, implement, and maintain high-performance Java-based components for Mastercard's Fraud Management Platform. Work on distributed systems, APIs, CI/CD, monitoring, testing, and incident troubleshooting within an Agile team.

Design, develop, and maintain high-performance Java-based solutions for Mastercard's Fraud Management Platform. Collaborate in an Agile SCRUM team to define user stories, produce design documentation, troubleshoot incidents, ensure test coverage and CI/CD delivery, and research technical solutions while following security and quality standards.

Design, implement and maintain high-performance Java-based capabilities for Mastercard's Fraud Management Platform. Collaborate in an Agile Scrum team with product, analysts and QA to deliver scalable, secure solutions, troubleshoot incidents, produce design documentation, and incorporate AI within SDLC.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction, partner with product and enterprise technology, improve operational stability, reduce incidents and toil, and grow engineering talent across multiple locations.

Lead global engineering teams to define and execute a technology transformation roadmap for Commercial Acceptance. Drive platform stability, event-driven microservice design, cloud deployment, secure SDLC practices, cross-functional alignment with product and enterprise tech, and talent development while improving operational metrics and reduction of incidents, MTTM, defects, and toil.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction and roadmap, champion event-driven asynchronous microservices and cloud deployments, ensure secure SDLC and continuous testing, improve operational stability and incident metrics, and grow engineering talent while aligning product and regional teams.

Build, test, and deploy AI/ML solutions including transformer-based and generative models. Support data preparation, feature engineering, training pipelines, model serving, monitoring, and integration into applications while following MLOps and software engineering best practices.