Top Tech Jobs & Startup Jobs in Dublin

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 Quality Engineering across full-stack and data/ML platforms. Define QE strategy, drive test automation, shift-left/right practices, establish AI/ML and data quality frameworks, own release quality gates, perform root-cause analysis, manage budget/vendors, and hire and develop global QE talent to ensure product reliability and customer experience.

Design, provision, and operate high-volume, low-latency decisioning infrastructure across cloud and on-prem. Build CI/CD pipelines, IaC, container orchestration, observability and automation. Collaborate with global R&D, troubleshoot production issues, drive DevOps best practices, cost optimization, and lead technical initiatives.

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 and scale Quality Engineering across full-stack and data/ML products. Define QE strategy, drive test automation, shift-left/right practices, release gates, root-cause analysis, and AI/ML guardrail testing. Manage budget, vendors, hiring, and career paths while improving product reliability and customer experience.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Architect retrieval pipelines, vector stores, feature and knowledge-graph integrations, lakehouse and streaming (Databricks, Spark, Kafka) on AWS. Ensure governance, lineage, data quality, observability and AI-specific controls. Partner with Applied AI and Product, set standards for data products exposed to agents, and guide a team of senior data engineers while remaining hands-on for architectural decisions.

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.

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.

Own the post-enablement customer journey for live production customers: monitor API performance and health, operate proactive alerting, build playbooks, coordinate cross-functional issue resolution, surface in-platform guidance, identify expansion opportunities, and provide data-driven visibility to leadership to improve retention and platform adoption.

Lead product strategy for Merchant Cloud, defining data and AI-driven analytics and agentic commerce propositions. Prioritize use cases, shape partner ecosystems, influence roadmaps, and enable commercial packaging and go-to-market plans across global teams.