Top Engineering Jobs in Dublin

Design, develop, deploy, and operate scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Responsibilities include building Java services and APIs, driving architecture and modernization, improving CI/CD and observability, troubleshooting production issues, partnering with SRE and Data Science teams, and mentoring engineers.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl platform. Design and evaluate technical solutions, build multithreaded Java applications and APIs, perform performance testing, troubleshoot server-side integrations, and work with cross-functional Agile teams. Contribute to software quality standards, process improvements, project metrics, and delivery commitments while supporting cloud-native development and database design.

Design, develop, test, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Own features from technical design through production rollout, develop APIs and real-time transaction services, improve cloud adoption and observability, troubleshoot production issues, and partner with SRE, Data Science, Product, and engineering teams. Mentor junior engineers and promote secure, reliable software engineering practices.

Design, develop, deploy, and operate highly scalable, low-latency distributed systems supporting Mastercard authentication and fraud decisioning products. Build APIs, real-time transaction services, and microservices; contribute to cloud adoption, observability, automation, and CI/CD. Troubleshoot production issues, improve reliability and security, collaborate with product, data science, architecture, and SRE teams, and mentor junior engineers.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; conduct performance testing, debugging, feasibility analysis, and technical research. Collaborate with cross-functional Agile teams, follow quality and security standards, support project metrics, and contribute to process improvements.

Develop, test, implement, document, maintain, and support secure, scalable software applications for Mastercard’s InControl virtual card platform. Design Java and Spring-based services, RESTful APIs, and database solutions; perform technical analysis, performance testing, debugging, and feasibility studies. Collaborate with cross-functional Agile teams, support project metrics and quality processes, document solutions, and contribute to improving engineering standards and processes.

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.

Build and lead scalable full-stack, data-intensive applications and AI-powered products using distributed systems, cloud technologies, Databricks, Spark, and LLMs. Responsibilities include system design, API and service development, performance optimization, mentoring engineers, technical troubleshooting, secure coding, testing, observability, CI/CD, and cross-functional collaboration. The role guides team-level architecture and delivers reliable analytics-driven solutions for global customers.

Build and lead full-stack, data-intensive, analytics-driven applications for business experimentation and decision-making. Responsibilities include system design, distributed systems development, Databricks and Spark data processing, AI and LLM-powered products, performance optimization, cloud-native deployment, troubleshooting, testing, security, observability, CI/CD, and mentoring engineers.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Responsibilities include system architecture, distributed systems, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud-native deployment, testing, observability, troubleshooting, and mentoring engineers.