Top Tech Jobs & Startup Jobs in Dublin

Leads major software engineering initiatives from strategy and business case development through delivery. Evaluates technologies through proofs of concept, establishes technical roadmaps, guides architecture and third-party integrations, and ensures security, compliance, documentation, and development standards. Manages scope, processes, SLAs, and multiple concurrent initiatives while mentoring distributed teams and influencing cross-functional stakeholders. Requires experience with global systems, service-oriented architectures, cloud platforms, web services, databases, agile delivery, and technologies including Java, JavaScript, and C#.

Leads major software engineering initiatives from strategy and business-case development through delivery. Directs cross-functional teams, evaluates technologies through proofs of concept, establishes technical roadmaps, and oversees integrations with vendors and external platforms. Ensures security, compliance, documentation, service-level agreements, and development standards. Provides architectural guidance for global, multilingual systems using cloud, web services, messaging, databases, and agile methodologies while mentoring teams and managing multiple concurrent initiatives.

Leads major software engineering initiatives, defines technical strategy and roadmaps, evaluates technologies through proofs of concept, and oversees enterprise integrations. Guides architecture, security, development processes, documentation, standards, and service-level compliance. Partners with business, legal, compliance, vendors, and global teams to deliver scalable systems using cloud, web services, databases, and agile methodologies. Coaches engineers, manages concurrent initiatives, and supports strategic decision-making.

Leads major software engineering initiatives, defines technical strategy and roadmaps, evaluates technologies through proofs of concept, and guides cross-functional teams. Oversees project scope, integration architecture, security, development standards, documentation, and service-level requirements. Partners with business, legal, compliance, vendors, and senior leadership on business cases, third-party integrations, and strategic decisions. Mentors engineers and supports development, testing, and operations for global, multilingual, multicurrency systems.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, and partners with product, engineering, analytics, and business teams. Mentors data scientists and AI engineers, presents technical recommendations to leadership, supports hiring, and shapes the organization’s long-term technical direction.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, embeddings, and foundation-model applications. Defines experimentation frameworks and success metrics, measures business impact, partners with cross-functional stakeholders, presents findings to leadership, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the technical direction of the AI organization.

Lead the architecture, design, development, and modernization of Mastercard’s cloud-native experimentation and analytics platform. Build scalable services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Drive technical strategy, system design, code reviews, delivery, observability, security, and reliability across distributed teams while mentoring engineers and coordinating cross-functional initiatives.

Lead architecture, design, coding, testing, and delivery of scalable cloud-native software for Mastercard’s experimentation and analytics platform. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, and Spark. Drive modernization, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinate globally distributed teams, collaborate across engineering and business functions, and mentor engineers while championing engineering excellence.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the long-term technical direction of the AI organization.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendation systems, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model representations, measures business impact, and partners with cross-functional stakeholders. Mentors data scientists and AI engineers, presents recommendations to leadership, contributes to hiring, and helps shape the organization’s technical direction.