Top Engineering Jobs in Dublin

Lead a team to design, develop, and maintain high-performance, Java-based fraud detection and identity services. Own full SDLC artifacts, performance testing, deployments, automation, mentoring, incident troubleshooting, PoCs, vendor integration, and compliance with Mastercard/PCI standards within an Agile SCRUM environment.

Lead development of high-performance, Java-based fraud and identity solutions. Own full SDLC, design, testing, deployments, mentoring, PoCs, vendor integration, and production troubleshooting while ensuring security and PCI compliance.

Lead a team building high-performance, low-latency Java-based fraud and identity decisioning systems. Own full SDLC, architecture, design, testing, deployments, incident troubleshooting, mentor engineers, run PoCs, and ensure compliance with Mastercard and PCI standards.

Lead a team building high-performance, low-latency Java-based fraud and identity decisioning systems. Accountable for full SDLC, architecture collaboration, automated testing/delivery/monitoring, production incident troubleshooting, mentoring engineers, PoCs, vendor selection, and ensuring compliance with Mastercard and PCI standards.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure. Build CI/CD pipelines, champion IaC, drive observability, optimize cost and performance, and collaborate with global R&D to deploy and operate the Decision Management Platform.

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.

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.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure for a real-time decisioning platform. Build CI/CD pipelines, champion IaC, drive observability, cost optimization, troubleshoot distributed systems, and lead DevOps initiatives across global engineering teams.

Design, provision, and operate high-volume, low-latency decisioning infrastructure across public and private clouds. Build and optimize CI/CD pipelines, implement Infrastructure as Code, drive observability and reliability, and collaborate with global engineering teams to support, troubleshoot, and scale the real-time Decision Management Platform.