Top Engineering Jobs in Dublin

Leads the planning, architecture, development, and delivery of scalable software solutions for global customers. Drives AI and emerging technology initiatives from concept through production, champions automation across the software lifecycle, and supports secure, resilient platform operations. Collaborates with engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for Emerging Data Signals.

Leads the planning, architecture, design, and delivery of scalable, secure software solutions for global customers. Drives AI and emerging technology initiatives from research through production, champions automation across the software lifecycle, and collaborates with engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations, improves platform performance and reliability, and ensures solutions align with enterprise standards and business objectives.

Design, develop, test, and maintain secure backend services, REST APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in code reviews, CI/CD, testing, releases, monitoring, troubleshooting, and root-cause analysis. Improve reliability, automation, and operational readiness while following security, privacy, and compliance standards.

Monitor and respond to production alerts, troubleshoot distributed applications, support deployments and CI/CD pipelines, automate operational processes, improve system reliability, and participate in incident response and blameless postmortems. The role also measures service health, collaborates with global development and operations teams, provides operational feedback, and mentors junior colleagues while advancing DevOps practices.

Develop and maintain secure, scalable backend services, RESTful APIs, integrations, and microservices. Collaborate with product, architecture, engineering, and data teams to deliver technical solutions. Participate in design, coding, testing, code reviews, CI/CD, releases, monitoring, and production support. Troubleshoot issues, perform root cause analysis, apply secure coding practices, and improve automation, reliability, and operational readiness.

Leads the planning, architecture, development, and delivery of scalable, secure software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology innovation from research through production, champions delivery automation, supports customer integrations, and provides technical leadership. Collaborates with globally distributed engineering, data, product, operations, and customer teams while improving platform performance, reliability, security, and customer experience.

Leads the planning, architecture, development, and production delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from research through deployment, champions automation across the software lifecycle, collaborates with global engineering, data, product, operations, and customer teams, and serves as a technical subject matter expert. Ensures solutions are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Build and lead scalable full-stack, data-intensive applications for analytics, experimentation, and decision-making. Responsibilities include team-level system design, distributed systems and API development, Databricks and Spark data processing, AI-powered agentic products using LLMs, performance optimization, cloud-native deployment, troubleshooting, secure coding, observability, CI/CD, and mentoring engineers.

Design and deliver Java-based capabilities for Mastercard’s large-scale Decision Enrichments platform. Build secure, resilient distributed systems, APIs, microservices, and event-driven applications. Collaborate with product, architecture, business analysis, quality, and engineering teams throughout design, testing, deployment, and operations. Troubleshoot production issues, contribute to technical architecture, improve engineering practices, automate delivery, document designs, and apply AI-assisted development practices.

Designs, develops, tests, deploys, and supports scalable Java-based distributed systems for Mastercard’s real-time decisioning platform. Builds resilient microservices and APIs, collaborates in Agile teams, troubleshoots production issues, contributes to architecture and technical documentation, and promotes automation, DevOps, security, observability, and continuous improvement. The role also applies AI-assisted engineering practices across the software development lifecycle.