Top Tech Jobs & Startup Jobs in Dublin

The Lead Site Reliability Engineer ensures reliable operation of Mastercard's tech services, focusing on performance, scalability, incident management, and automation while mentoring team members.

The Lead Software Engineer will manage a cross-functional engineering team, design and develop complex technical products, and lead strategic direction in an agile environment, focusing on customer-centric solutions and collaboration across teams.

Lead the architecture and design of Mastercard's virtual card management platform. Drive engineering excellence and collaborate across teams to deliver secure software solutions.

Lead product strategy and roadmap for a cloud-native enterprise AI/data platform enabling a federated data mesh. Own capabilities like ingestion, lakehouse storage, orchestration, observability, cost attribution, and self-service tooling. Partner cross-functionally with engineering, governance, security, and business stakeholders to drive adoption, compliance, reliability, and enterprise-scale AI/ML outcomes.

The Product Designer will create user-centered solutions for digital payment experiences, collaborating with teams, managing design libraries, and incorporating feedback. This role requires extensive knowledge in product design, user experience, and technology coordination while ensuring quality and accessibility standards are met.

Design and build responsive user interfaces with React, contribute to backend development using Java and Spring Boot, integrate RESTful APIs, implement reusable front-end components, participate in agile ceremonies, and collaborate with cross-functional teams to deliver secure, scalable payment gateway solutions.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build knowledge bases and APIs, optimize models in production, mentor engineers, and ensure data governance, security, and compliance.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs/microservices, monitor model performance, and collaborate across product and data teams while ensuring compliance, security, and operational excellence.

The Director of Project Management leads AI program execution, manages the delivery lifecycle, mitigates risks, and ensures adherence to data privacy standards while optimizing delivery frameworks.

Design, develop, and test scalable backend systems with a development-first mindset. Build and maintain API/UI automation frameworks, enhance CI/CD pipelines, drive shift-left testing, support performance/security/reliability efforts, perform code reviews, troubleshoot distributed systems, and promote quality-first engineering practices across teams.