Top Engineering Jobs in Dublin

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Leads system design, builds distributed services and data pipelines with Databricks and Spark, develops LLM-based agentic workflows, resolves performance and reliability issues, and mentors engineers. Collaborates cross-functionally to deliver secure, maintainable cloud-native solutions using modern software engineering, testing, observability, and CI/CD practices.

Build and lead scalable full-stack, data-intensive, analytics-driven applications for Mastercard Services. Responsibilities include system design, distributed systems, APIs, Databricks and Spark development, AI-powered products and agentic workflows, performance optimization, cloud deployment, reliability improvements, technical mentoring, code reviews, testing, security, observability, and cross-functional solution delivery.

Designs and develops scalable full-stack, distributed, data-intensive, and AI-powered applications. Leads system design, builds analytics and agentic workflows using Databricks, Spark, and LLM technologies, resolves performance and reliability issues, and translates business needs into secure technical solutions. The role also involves mentoring engineers, conducting design and code reviews, improving CI/CD and observability, supporting cloud-native production systems, and collaborating across teams.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed services, APIs, Databricks and Spark development, LLM agentic workflows, performance optimization, cloud deployment, troubleshooting, testing, observability, secure coding, and mentoring engineers.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed systems, microservices, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud deployment, testing, observability, troubleshooting, and mentoring engineers. The role translates business needs into secure, maintainable technical solutions and drives engineering quality, reliability, and production readiness.

Designs and develops scalable full-stack, distributed, data-intensive applications and AI-powered products. Leads system design, API and data architecture, performance optimization, cloud deployments, testing, observability, and production support. Collaborates with cross-functional teams to translate business needs into secure technical solutions, troubleshoots complex platform issues, and mentors junior and mid-level engineers. The role includes developing Databricks and Spark applications, LLM-based agents, retrieval systems, and agentic workflows.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, data visualization, and connected environments. Owns delivery from concept through production, establishes technical standards and operational models, and partners with engineering, product, creative, security, vendors, and executive stakeholders. The role also mentors teams and translates customer and business needs into reliable, scalable technology experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre demonstrations. Owns technical strategy, reusable frameworks, emerging technology integration, production delivery, operational support, and technical standards across AI, mixed reality, spatial computing, IoT, visualization, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders while translating customer and business needs into reliable, scalable experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization, IoT environments, and production systems. Owns delivery from concept through deployment, establishes technical standards and support models, and leads cross-functional teams and external partners. Engages executives and customers to translate business needs into compelling, reliable technology experiences while mentoring teams and driving adoption of emerging technologies.

Leads and develops a cross-functional engineering team building full-stack applications, data pipelines, APIs, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps, drives innovation and quality, mentors engineers, and coordinates large technical efforts across teams. Contributes directly to implementation while scaling platform solutions and maintaining stakeholder alignment.