Top Tech Jobs & Startup Jobs in Dublin

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 development and quality engineering efforts: design, build, and maintain backend systems and automation frameworks (API/UI). Embed shift-left testing, enhance CI/CD pipelines, drive performance, security, reliability, observability, and mentor teams to improve engineering practices and system availability.

Design, build, and operate production-grade AI systems and platforms; define technical direction and architecture; drive MLOps, deployment, monitoring, and lifecycle management; optimize inference and data pipelines; mentor senior engineers and influence cross-team AI strategy to deliver scalable, secure, production impact.

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 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 design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Build and maintain knowledge bases, architect scalable cloud solutions (AWS, Cloudera, Databricks), develop APIs/microservices, ensure security/compliance, monitor model performance, mentor engineers, and collaborate cross-functionally to translate business needs into production AI systems.

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 security partner for Data Commercialization and AI programs. Advise product and engineering teams on secure design, embed security in the SDLC, lead security reviews (threat models, architecture, code), translate policies into actionable controls, and improve protections for sensitive data and ML models through tooling, automation, and risk management.

Lead architecture, development, and operation of production-grade AI systems. Define technical direction, build scalable cloud-native AI/ML platforms, enable MLOps, optimize inference, mentor senior engineers and data scientists, and translate product needs into robust AI solutions.

Lead security advocate for Data Commercialization and AI initiatives: advise product and engineering teams on secure design, enforce security governance (threat modeling, architecture/code reviews, vulnerability management), translate policies into actionable controls, embed security in SDLC/DevSecOps, and drive protection of data and ML models across cloud, data pipelines, and AI solutions.