Top Tech Jobs & Startup Jobs in Dublin

Lead end-to-end design and delivery of full-stack, scalable React and Java/Spring Boot solutions. Drive API contracts, microservices architecture, CI/CD, observability, security and performance standards. Mentor engineers, own production readiness and SLOs, and partner with product and architecture to improve engineering quality and delivery across teams.

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.

Design, develop, test, deploy, and support scalable cloud-native virtual card applications using Java and Spring Boot. Build APIs and microservices, manage data migrations, support releases, troubleshoot production issues, and improve platform resiliency. Collaborate with cross-functional teams in Agile environments, contribute to testing and engineering standards, manage technical priorities, and mentor junior engineers.

Designs, develops, tests, deploys, and supports scalable cloud-native applications for Mastercard’s Virtual Card Services platform. Builds Java and Spring Boot services on PCF, supports data migration and release management, develops automated and manual tests, troubleshoots production issues, and contributes to Agile delivery. Collaborates with product and engineering teams, mentors junior engineers, performs root cause analysis, and improves platform resiliency, security, and operational efficiency.

Design, develop, test, deploy, and maintain scalable cloud-native applications for Mastercard’s Virtual Card Services platform. Build Java and Spring Boot microservices, support data migration and release management, troubleshoot production issues, and improve platform resiliency. Collaborate across product and engineering teams in an Agile environment, contribute to testing and software quality, manage technical priorities, and mentor junior engineers.

Lead design and delivery of full-stack, high-performance solutions (Java Spring Boot + React). Architect scalable microservices and UI systems, define APIs, CI/CD and observability standards, mentor engineers, own production readiness, and drive cross-team delivery and engineering quality improvements.

Lead Data Scientist developing high-performance AI solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging frameworks, creating prototypes and products, designing AI architectures and pipelines, developing APIs, collaborating across global teams, publishing research, filing patents, mentoring data scientists, and leading project delivery. The role requires strong Python, SQL, cloud, software engineering, and MLOps capabilities.

Lead Data Scientist developing high-performance AI solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging AI technologies, building prototypes and products, designing solution architectures and pipelines, optimizing APIs and SQL, collaborating across global teams, publishing research, filing patents, mentoring junior scientists, and leading project delivery. The role also involves identifying AI opportunities and applying cloud, MLOps, and software engineering practices.

Leads applied data science and AI research to design, develop, and prototype high-performance solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging AI technologies, building solution architectures and pipelines, developing APIs and interfaces, optimizing SQL, collaborating across global teams, publishing research, filing patents, identifying AI opportunities, mentoring junior scientists, and leading projects or small teams.

Lead applied AI and data science research within Mastercard Foundry, developing high-performance solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include designing architectures and prototypes, researching emerging AI technologies, building APIs and pipelines, collaborating globally, mentoring junior scientists, presenting technical direction, and contributing to research papers and patents.