Top Tech Jobs & Startup Jobs in Dublin

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.

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.

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.

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, and MCP servers. Ensure governance, lineage, observability, and AI-specific controls. Partner with Applied AI, Product, and Security; guide and grow a senior data engineering team while remaining hands-on to unblock technical challenges.

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.

Lead and scale a global Quality Engineering function across full-stack and data/ML systems. Define QE strategy, drive test automation, shift-left/right practices, establish AI and data quality frameworks, own release gates, perform RCA on incidents, manage budget and vendors, and recruit and develop QE leadership.

Lead global Quality Engineering across full-stack and data/ML platforms: define QE strategy, drive test automation, embed shift-left/right practices, own release quality gates, manage incidents, budgets, vendors, and build a high-performing QE organization.