Top Engineering Jobs in Dublin

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction, partner with product and enterprise technology, improve operational stability, reduce incidents and toil, and grow engineering talent across multiple locations.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction and roadmap, champion event-driven asynchronous microservices and cloud deployments, ensure secure SDLC and continuous testing, improve operational stability and incident metrics, and grow engineering talent while aligning product and regional teams.

Lead global engineering for Commercial Acceptance: define and execute technology transformation and roadmap, drive event-driven microservice and cloud deployments, improve operational stability and metrics, build and develop engineering talent, and align product, engineering and regional teams to deliver scalable B2B payment solutions.

Lead global engineering for Mastercard Commercial Acceptance: define technology roadmap, drive large-scale transformation, ensure operational stability, build and develop talent, align product and regional teams, and embed secure SDLC and cloud-native microservice practices.

Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Define technical roadmap, ensure operational stability, drive product and platform development, improve reliability metrics, and grow engineering talent while aligning cross-functional and executive stakeholders.

Lead global engineering for Mastercard Commercial Acceptance: define technology roadmap, drive large-scale transformation, build and develop distributed engineering teams, ensure operational stability and secure SDLC, collaborate with product and enterprise tech, and improve metrics like incident reduction and MTTM.

Lead global engineering teams to define and execute a technology transformation roadmap for Commercial Acceptance. Drive platform stability, event-driven microservice design, cloud deployment, secure SDLC practices, cross-functional alignment with product and enterprise tech, and talent development while improving operational metrics and reduction of incidents, MTTM, defects, and toil.

Lead global engineering teams to design, build, and operate Mastercard's Commercial Acceptance platform. Define technology roadmap, drive large-scale transformation, ensure operational stability, improve incident metrics, and partner with product and enterprise leadership to deliver scalable, secure cloud-native payment solutions.

Lead global engineering teams to evolve Mastercard's Commercial Acceptance platform. Define technical strategy and roadmap, drive technology transformation, ensure operational stability and secure SDLC, build and develop engineering talent, and align product, engineering, and regional teams to deliver scalable, cloud-native B2B payment solutions.

Lead global engineering teams to design, build, and operate the Commercial Acceptance platform. Define technology roadmap, drive transformation, improve operational stability, reduce incidents and toil, ensure secure SDLC and cloud deployments, and develop engineering talent while aligning product and regional teams.

Lead global engineering teams to define and execute the Commercial Acceptance technology roadmap. Drive large-scale technology transformation, ensure operational stability, improve platform metrics, collaborate with product and enterprise leaders, and grow technical talent across multiple regions while embedding Mastercard principles.

Lead Cloud Operations Engineers build internal tools, automate processes, monitor alerts, troubleshoot production systems, support on-call rotations, and coach engineers. They partner with Product and R&D, drive automation to reduce mean time to resolve incidents, and ensure uptime and high-quality delivery while fostering team growth and psychological safety.

Lead strategy and delivery of the data platform powering analytics and agentic AI across CNPF. Architect lakehouse, streaming, retrieval, vector/feature stores and MCP servers; ensure governance, observability, and PII-safe AI data pipelines; partner with Applied AI, Product, and Security; guide and grow senior data engineering team.

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 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 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.

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.

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.

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.

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.

Lead global Quality Engineering for CNPF products and platforms. Define and execute QE strategy across full-stack, data/ML, and infrastructure; drive test automation, shift-left/right practices, release gates, incident root-cause analysis, tooling decisions, budgeting, and talent development.