Top Tech Jobs & Startup Jobs in Dublin

Leads the global architecture, prototyping, engineering, and deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, IoT environments, and visualization platforms. Owns delivery from concept through production, establishes technical standards and support models, and collaborates with product, engineering, creative, security, vendors, and executive stakeholders. Translates customer and business needs into reliable, scalable technology experiences while mentoring teams and driving emerging-technology adoption.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, visualization, IoT, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders to deliver reliable customer-facing demonstrations, establish technical standards, mentor teams, and translate innovation concepts into scalable experiences.

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 architecture, design, development, modernization, and delivery of scalable cloud-native experimentation and analytics software. Builds services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and PySpark. Provides technical leadership across distributed teams, drives design and code reviews, mentors engineers, and champions security, reliability, observability, performance, and continuous delivery.

Lead architecture and hands-on development of Mastercard’s cloud-native experimentation and analytics platform. Design scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, and Spark/PySpark. Drive modernization, technical strategy, design reviews, delivery across global teams, and engineering best practices for security, reliability, observability, and performance. Mentor engineers and collaborate with product, data science, QA, security, and operations teams.

Leads architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Builds distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern software practices. Drives modernization, technical strategy, architecture reviews, cross-team execution, reliability, security, observability, and continuous delivery while mentoring engineers and coordinating globally distributed teams.

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, and Spark/PySpark. Drive technical strategy, system design, code reviews, architecture decisions, and cross-team execution while mentoring engineers and ensuring secure, reliable, observable, high-performance software delivery.

Leads architecture, design, coding, testing, and delivery of a cloud-native experimentation and analytics platform. Builds scalable services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, Spark, and Kubernetes. Drives modernization, technical strategy, architecture reviews, reliability, security, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures production-quality solutions aligned with enterprise standards.

Lead architecture, design, development, and delivery of scalable cloud-native experimentation and analytics platforms. Build distributed services, APIs, data pipelines, and analytical capabilities using AWS, Azure, Databricks, Spark, and modern engineering practices. Drive modernization, technical strategy, design reviews, delivery coordination, reliability, security, observability, and continuous improvement. Mentor engineers and collaborate across product, data science, QA, security, operations, and globally distributed engineering teams.