Top Engineering Jobs in Dublin

Lead engineering team building and operating API platforms and backend services to expose foundation model capabilities. Own architecture, security, scalability, observability, CI/CD, and reliability. Partner with AI teams to integrate models, manage multiple workstreams, hire and develop talent, and translate product needs into technical roadmaps.

Lead and manage software development teams building and delivering Fraud Platform enhancements. Provide technical leadership, act as Scrum Master, partner with product owners, ensure staffing and training, drive engineering and operational excellence, coach staff, and oversee production support for distributed, high-volume systems.

Lead and manage software development teams building and delivering enhancements to Mastercards Fraud Management Platform. Own solution delivery in an Agile environment, act as Scrum Master for one team, partner with Product and Business Owners, ensure staffing, coaching, quality, production support, and continuous improvement.

Lead and grow software teams to design, build, and operate Mastercard Fraud Platform capabilities. Drive Agile delivery, technical design, continuous improvement, staffing, mentoring, and production support while partnering with product and business stakeholders.

Lead a team to design, build, and deliver API-driven microservices at scale; ensure code quality, testing, security, performance, and operational resiliency; drive architectural decisions, mentor engineers, and manage delivery and performance reviews.

Lead an engineering team building API platforms and backend services to expose foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and model integration while managing delivery, hiring, and stakeholder alignment for production-grade AI services.

Lead engineering teams building API platforms and backend services to expose foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and model integration. Manage multiple workstreams, hire and coach engineers, define technical roadmaps, and ensure production readiness and governance for scalable AI services.

Lead a team building API-driven microservices for virtual card management. Oversee design, development, code review, testing, security, performance engineering, cross-functional coordination, and people management to deliver resilient, scalable production software.

Lead and manage software development teams building and delivering enhancements to the Mastercard Fraud Platform. Drive Agile delivery, partner with product owners to prioritize work, act as Scrum Master for one team, ensure production support and quality, mentor staff, plan resourcing and career development, and promote continuous improvement and engineering excellence.

Lead a team to design, build, and deliver resilient, API-driven microservices at scale. Oversee project delivery, guide architecture and code quality, enforce testing and secure coding practices, coordinate cross-functional design decisions, and develop engineering talent through coaching and performance management.

Lead design and delivery of Product Excellence tooling and internal platforms, define scalable architectures (Power Platform, SharePoint, Dataverse), drive end-to-end program delivery, enforce data governance, transition operating models toward automation, and develop high-performing teams while influencing cross-functional adoption of standardized processes and tooling.

Lead an AI engineering team to develop, fine-tune, and deploy foundation models and generative AI for high-impact use cases. Drive end-to-end delivery, collaborate with product, data engineering and platform teams, embed responsible AI practices, and provide technical guidance to ensure scalable, production-ready solutions.

Lead and manage a team building API-driven microservices for virtual card management. Oversee design, delivery, code reviews, testing strategies, security practices, performance engineering, and cross-functional architecture decisions while developing engineering talent.

Lead design and delivery of Product Excellence tooling and scalable internal platforms across the Studio Product Delivery lifecycle. Define architecture and integrations (SharePoint, Power Platform, Dataverse), drive end-to-end execution, enforce data governance, transition operating models toward automation, and develop high-performing teams while influencing cross-functional adoption of standardized processes and tooling.

Lead a team to design, build, and deliver resilient, scalable API-driven microservices. Oversee project delivery, code reviews, SDLC best practices, testing (unit/integration/e2e), security, performance engineering, architecture decisions, and people management including hiring, coaching, and performance reviews.

Lead engineering team building and operating API platforms and backend services that expose foundation model capabilities. Drive architecture, security-by-design, scalability, reliability, CI/CD, observability, and AI model integration. Manage multiple workstreams, hire and coach engineers, and translate product requirements into technical roadmaps.

Lead design and delivery of Product Excellence tooling and internal platforms, define scalable architecture (Power Platform, SharePoint, Dataverse), drive end-to-end software delivery, enforce data governance, transition operating models to automated solutions, and develop high-performing engineering teams across cross-functional, distributed stakeholders.

Lead design and delivery of Product Excellence platforms and tooling, define scalable architectures (Power Platform/SharePoint/Dataverse), drive cross-functional execution, enforce data governance, transition operating models toward automation, and develop technical teams while promoting innovation and operational efficiency.

Lead a team of AI engineers to develop, fine-tune, and deploy foundation models and generative AI solutions. Drive end-to-end delivery of use cases, partner with product and data teams for scalable deployments, establish evaluation and responsible AI practices, and provide technical coaching and delivery oversight to meet program priorities.

Lead design and delivery of Product Excellence tooling and platforms, define scalable architectures (Power Platform, SharePoint, Dataverse), drive automation from manual to mandatory processes, coordinate cross-functional engineering/product/operations delivery, enforce data governance, and develop high-performing teams to support global product council operating models.

Lead and manage software development teams delivering fraud platform enhancements. Own solution delivery in an Agile environment, act as Scrum Master for one team, prioritize with product owners, provide technical guidance, ensure production support, drive continuous improvement, staffing, training, and performance coaching.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Drive API and distributed systems design, security, scalability, observability, CI/CD, and model integration while managing delivery, hiring, and stakeholder alignment.

Lead a team building and deploying foundation models and generative AI solutions. Drive end-to-end delivery from problem definition to production, partner with product and data teams, establish evaluation and governance practices, embed responsible AI, and provide technical leadership and coaching to ensure scalable, reliable, measurable AI use cases.

Lead and direct software engineering teams building Mastercard's Fraud Platform. Deliver major initiatives in an Agile environment, act as Scrum Master for one team, partner with product owners, manage estimates/scope/staffing/training, ensure production support, drive continuous improvement and engineering excellence.

Lead engineering team building and operating cloud-native API platforms exposing foundation model capabilities. Define API and service architecture, enforce security and reliability, drive CI/CD and observability, integrate models with production systems, manage multiple workstreams, and hire/coach engineers to deliver secure, scalable, production-grade AI platform services.