Top Tech Jobs & Startup Jobs in Dublin

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.

Lead data engineering strategy and delivery for CNPF, building lakehouse, streaming, retrieval, vector/feature stores and MCP servers to support agentic AI, LLMs, and analytics. Ensure governance, observability, security, and real-time data access while guiding senior engineers and partnering with Applied AI, Product, and Architecture.

Lead hands-on design and delivery of production-ready, secure, scalable agentic AI applications. Define engineering patterns, drive SDLC from prototype to production, improve AI-enabled developer workflows, mentor engineers, and collaborate with product, data science, security, and platform teams to deliver measurable business value.

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.

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, 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 a full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Define service-oriented architectures, scope and deliver large-scale features, mentor engineers, drive CI/CD and engineering practices, and collaborate with product and global teams to deliver production-ready microservices and data-driven products.

Lead and manage multiple engineering squads building cloud-native Java/Spring Boot payment network services. Oversee deliverables, product and solution architecture for scalable real-time event-driven systems, drive CI/CD, automation, quality and AI adoption, and coordinate cross-regional stakeholders.