Top Tech Jobs & Startup Jobs in Dublin

Lead end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot backend and React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and performance standards. Mentor engineers, own production readiness and SLOs, reduce operational toil, and partner with product and cross-functional stakeholders to ensure enterprise requirements are met.

Lead end-to-end design and delivery of full-stack, high-volume solutions (Java Spring Boot backend and React frontend). Define API contracts, microservice boundaries, CI/CD, observability, security, and performance standards. Mentor engineers, drive architecture and cross-team execution, ensure production readiness, and improve engineering quality, testing, and operational excellence.

Lead and coordinate large, cross-team technical initiatives for a global, microservices-based payments platform. Define architecture and cloud infrastructure choices, plan and track delivery across teams, coach Agile/SAFe practices, remove impediments, report status to stakeholders, and partner with product, architects, and engineers to deliver scalable, secure, high-performance features.

Lead and coordinate large-scale, cloud-native microservices initiatives for payments, coaching Agile teams (SAFe/Scrum@Scale), removing impediments, aligning stakeholders, planning sprints, and delivering reliable, secure production software at scale.

Design, deploy, and operate high-volume, low-latency decisioning systems in public and private clouds. Build CI/CD pipelines, IaC (Terraform/CloudFormation), container orchestration (Kubernetes/Helm), and observability (Prometheus, Grafana, Splunk). Collaborate with global R&D, drive DevOps practices, optimize cost, and lead automation and reliability efforts.

Lead strategy and delivery of the data platform powering analytics and agentic AI across CNPF. Architect lakehouse, streaming, retrieval, vector/feature stores and MCP servers; ensure governance, observability, and PII-safe AI data pipelines; partner with Applied AI, Product, and Security; guide and grow senior data engineering team.

Lead strategy, architecture, and delivery of a production-grade data platform enabling agentic AI and analytics. Own lakehouse, streaming, retrieval, vector/feature stores, MCP servers, governance, and real-time pipelines; partner with Applied AI and Product; guide senior engineers and set standards for AI-ready data products.

Design, provision, and operate high-volume, low-latency decisioning systems across public and private clouds. Build CI/CD pipelines, implement Infrastructure-as-Code, drive observability, optimize cost, collaborate with global engineering teams, and lead DevOps initiatives while contributing hands-on automation and troubleshooting.

Lead design and deliver production-grade agentic AI applications and platform capabilities. Drive architecture, implementation, observability, security, CI/CD, and cross-functional delivery while mentoring engineers and shaping roadmaps for scalable, reliable AI-powered services.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.