Top Tech Jobs & Startup Jobs in Dublin

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.

Lead global Quality Engineering across CNPF products, define QE strategy, drive test automation, shift-left/right practices, ensure data/ML and AI product quality, manage release gates, incident RCA, budgets, vendors, and hiring.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure. Build CI/CD pipelines, implement Infrastructure as Code, drive observability and reliability, collaborate with global engineering teams, and lead DevOps automation and cost optimization for a real-time decisioning platform.

Lead and build a Support & Retention Experience function for a B2B developer-facing platform: design customer health monitoring, establish post-production support and SLAs, automate playbooks, align cross-functional data and integrations, identify expansion opportunities, and drive retention and platform adoption while coaching a high-performing team.

Own and evolve Mastercard's AI-native data platform and applications: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure regulatory and security compliance, and translate regional customer needs into scalable data products.

Own and evolve an AI-native data platform and products: define roadmap and backlog, treat data as a product with SLAs and governance, transform structured/unstructured data into reusable schemas and datasets, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy, translate regional needs into scalable models, analyze market trends, and drive product delivery within budget and timelines.

The Lead Security Engineer advocates secure design practices within Mastercard, leading complex security initiatives, providing expert guidance, and ensuring compliance with security policies and standards.

Lead creation of a Support and Retention Experience function to monitor customer health, build post-production support, automate playbooks, align cross-functional data, identify expansion opportunities, and drive retention and platform adoption.

Own the post-enablement customer journey for live production customers: monitor API performance and health, operate proactive alerting, define customer health scores and playbooks, coordinate issue resolution across SRE/engineering/product, surface in-platform guidance, identify expansion opportunities, and provide data-driven reporting to leadership to improve retention and platform adoption.

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