Top Tech Jobs & Startup Jobs in Dublin

Lead architecture and technical strategy for a global virtual card platform. Design and build scalable, secure, highly available services; collaborate with product and regional teams; mentor engineers; implement Domain Driven Design; ensure security, operability, and delivery of complex software solutions across cloud, containers, and high-throughput systems.

Lead the Business Security Enablement guild to advise on secure design, lead large global initiatives, document and enhance security standards, present technical recommendations, and ensure compliance with security policies and regulatory requirements.

Design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; deploy scalable, secure systems on cloud platforms (AWS, Cloudera, Databricks). Collaborate cross-functionally, monitor model performance, ensure data governance and compliance, and mentor junior engineers.

Lead security engineering for Data & AI initiatives: advise product and engineering teams, translate security policies into actionable controls, lead security reviews and threat modeling, embed security into SDLC and CI/CD, drive vulnerability management, and promote security-first culture across global teams.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available systems; apply Domain Driven Design; mentor engineering teams; collaborate with product and enterprise functions; drive PoCs and delivery; ensure operability, security, and continuous improvement.

Develop and maintain production-grade backend systems with a development-first mindset. Design and implement scalable test automation (API and UI), enhance CI/CD pipelines, drive shift-left testing, participate in architecture discussions, and ensure performance, security, and reliability across distributed systems. Troubleshoot complex issues and promote engineering best practices.

Lead security partner for Data Commercialization and AI programs. Advise on secure design, embed security in SDLC, lead threat modeling and architecture reviews, enable DevSecOps, manage vulnerabilities, and drive security standards, training, and automation across data and AI initiatives.

Lead engineering strategy and hands-on delivery for agentic AI products and reusable agent frameworks. Build and scale teams and cloud-native platforms, drive architecture for production-grade agent systems (memory, orchestration, tool integration, observability, safety), partner cross-functionally, establish engineering frameworks, and measure adoption, quality, and business impact.

Lead engineering strategy and hands-on delivery for agentic, LLM-powered systems and reusable AI platforms. Build and scale teams and frameworks for orchestration, retrieval, observability, safety, and production-grade deployment; partner with Product, Data Science, Security, and Platform teams to move agentic solutions from experimentation to governed, scalable production.

Own and evolve Mastercard's AI-native data platform and products: define roadmaps, treat data as a product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory teams, and translate regional requirements into scalable data models and datasets.