Top Tech Jobs & Startup Jobs in Dublin

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 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 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 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 technical delivery and system design for backend services in a mixed monolith/microservices environment. Guide features end-to-end, improve resilience, reliability, observability, and CI/CD, resolve complex incidents, set engineering standards, and collaborate cross-team to modernize platforms supporting virtual card and payment capabilities.

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 for agentic AI products and platforms: build and scale teams, define architecture and frameworks for LLM-driven agents, ensure production-grade reliability, observability, security, and cross-functional adoption of AI tooling and governance.

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.

Lead security engineer advising product and ops teams on secure design, reviewing and improving security standards and procedures, leading security for large global initiatives, presenting technical recommendations, and implementing cryptographic, network, and systems security controls while driving automation and process improvements.

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.