Top Tech Jobs & Startup Jobs in Dublin

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.

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.

Design, build, and maintain full-stack web applications and scalable data pipelines. Implement responsive UIs, analytics/data models, RESTful APIs, and high-quality tested code. Mentor junior engineers, collaborate with product and design, and drive process and architecture improvements for analytics products at scale.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services; apply Domain Driven Design; mentor teams; drive PoC-to-production delivery; ensure cloud-native deployments, container orchestration, PKI/crypto standards, and engineering best practices.

Develop high-performance Java-based solutions for Mastercard Foundry R&D. Design and implement AI tooling capabilities, collaborate in an agile team, research technical alternatives, produce design and research documentation, ensure automated testing and CI/CD, and transition R&D solutions into Mastercard core systems.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.

Lead security partner for Data & AI programs who advises product and engineering teams on secure design and delivery, translates policies into actionable controls, leads threat modeling and architecture/code reviews, drives DevSecOps and vulnerability management, and champions data/AI protection, cryptography, and regulatory compliance across global initiatives.

Lead architecture, implementation, and operation of production-grade AI systems. Drive technical strategy, mentor senior engineers and data scientists, partner with product and data leaders, and ensure scalable, secure, and cost-efficient AI platforms spanning model development, deployment, inference optimization, and lifecycle management.

Lead architecture and technical strategy for a global virtual card platform. Design and build scalable, secure, highly available services, mentor teams, collaborate with product and enterprise stakeholders, and drive engineering excellence and delivery.