* Nenagh – Co. Tipperary
* Long Term Contract
* Daily Rate
Global Payments company with operations in Dublin and Nenagh, Co. Tipperary are looking to hire a number of experience Java Developers and Technical Leads as part of a exciting AI transformation project.
The Role:
* Design, build, and ship high-quality microservices and event-driven capabilities that power modern experiences.
* Partner with architecture, product, data science, and AI platform teams to embed machine learning and AI-assisted workflows in customer and operational journeys.
* Lead the decomposition and modernisation of legacy components, applying domain-driven design, strangler patterns, and AI-accelerated refactoring techniques.
* Curate, instrument, and document systems so AI copilots and autonomous runbooks can observe, learn, and act safely (telemetry, feature flags, guardrails).
* Drive engineering excellence through thoughtful design reviews, automated testing, chaos/resilience practices, and codified reliability standards.
* Improve developer experience with automated pipelines, infrastructure-as-code, policy-as-code, and AI-enabled tooling that shorten feedback loops.
* Coach and mentor engineers on AI-first ways of working: prompt literacy, pair-programming with copilots, responsible-use guidelines, and experimentation discipline.
* Balance transformation ambition with delivery commitments by making pragmatic, data-informed engineering trade-offs and communicating risks early.
Skills & Experience:
* Proven experience delivering software in complex, distributed, highly regulated environments.
* Expert-level Java skills plus fluency with modern frameworks, testing libraries, and build tooling.
* Hands-on experience with AWS (or comparable cloud) and building cloud-native, containerised services on Kubernetes.
* Working knowledge of event-driven architectures and streaming platforms such as Kafka; able to model, test, and operate event flows at scale.
* Experience with CI/CD, infrastructure automation, observability stacks, and Site Reliability/DevOps practices.
* Demonstrated use of AI-assisted engineering tools (e.g., GitHub Copilot, internal copilots) or building ML/LLM-enabled services; comfort applying AI responsibly.
* Strong collaboration and communication skills with the ability to influence cross-functional partners and navigate
* enterprise governance.