Top Tech Jobs & Startup Jobs in Dublin

Lead global Quality Engineering for CNPF products, defining QE strategy across full-stack, data/ML, and infrastructure. Build and manage teams, drive test automation, shift-left/right practices, establish AI/data quality frameworks, own release gates, conduct root-cause analyses, manage budgets/vendors, and represent QE externally.

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.

Lead and scale a global Quality Engineering organization for CNPF products, defining QE strategy across full-stack and data/ML systems. Drive test automation, shift-left/shift-right practices, AI/agentic product evaluation, release quality gates, root-cause analysis, tooling and vendor decisions, budgeting, and talent development to improve product reliability and customer experience.

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 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.

Lead strategy and delivery of the data platform powering analytics and agentic AI across business verticals. Architect lakehouse, streaming, retrieval, vector stores, feature stores, 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, and guide a team of senior data engineers while staying hands-on to unblock technical challenges.

Lead strategy, architecture, and delivery of CNPF data platform to power analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI and Product, guide senior engineers, and remain hands-on to unblock architecture and production issues.

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.

Design, provision, and manage public and on-prem cloud infrastructure for a high-volume, low-latency decisioning platform. Build CI/CD pipelines, champion Infrastructure-as-Code, drive observability and reliability, collaborate with global R&D teams, optimize cost and performance, and provide hands-on DevOps leadership and automation.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure real-time, secure, and auditable data for LLMs and analytics. Guide senior engineers and partner with AI, product, and security teams.