Top Tech Jobs & Startup Jobs in Dublin

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 and scale Quality Engineering across CNPF products: build a global QE team, define and execute QE strategy, drive test automation, embed shift-left/right practices, ensure data and AI/ML product quality, own release quality gates, perform RCA on incidents, and manage budget, vendors, and hiring.

Design and manage public and on-prem cloud infrastructure, build and optimize CI/CD pipelines, champion Infrastructure as Code, drive monitoring and reliability, collaborate with R&D to troubleshoot and scale a high-volume, low-latency decisioning platform, and lead DevOps automation and cost-optimization efforts.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores and MCP servers, ensure governance, observability, and secure AI data consumption, and manage senior data engineering teams.

Design and manage high-volume, low-latency decisioning platform deployments across public and private clouds. Build CI/CD pipelines, champion Infrastructure-as-Code, drive monitoring/observability, optimize cost and reliability, collaborate with global R&D teams, and contribute hands-on automation and coding.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Build lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and AI-specific controls. Partner with Applied AI, Product, and Architecture; set standards for data products exposed to agents; remain hands-on to unblock teams and grow senior data engineering talent.

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.

Lead and scale Quality Engineering across full-stack and data/ML platforms. Define QE strategy, drive test automation, shift-left/right practices, establish AI/data quality frameworks, manage releases, budgets, vendors, and build global QE talent.

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.

Design and manage high-volume, low-latency decisioning infrastructure across public and private clouds. Build CI/CD pipelines, implement IaC, drive observability, optimize costs, and collaborate with global engineering teams to support real-time fraud and identity services.