Top Tech Jobs & Startup Jobs in Dublin

Lead end-to-end design and delivery of full-stack solutions: architect React-based UIs and Java/Spring microservices, define APIs and integrations, set CI/CD/observability/security standards, mentor engineers, ensure production readiness, and drive engineering quality, scalability, and reliability across teams.

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.

Leads applied AI and data science research within Mastercard Foundry, designing and developing machine learning, deep learning, NLP, and generative AI solutions. Builds prototypes, products, architectures, and pipelines; researches emerging frameworks; works with LLMs; contributes to patents and research publications; and identifies AI opportunities. The role also mentors junior scientists, collaborates globally on innovation initiatives, and may lead projects and small teams.

Lead end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot backend and React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and performance standards. Mentor engineers, own production readiness and SLOs, reduce operational toil, and partner with product and cross-functional stakeholders to ensure enterprise requirements are met.

Develop and maintain scalable cloud-native applications for Mastercard’s Virtual Card Services platform. Responsibilities include Java and Spring Boot development, API and microservices integration, testing, deployment, data migration, release management, production support, troubleshooting, and root cause analysis. The role collaborates with cross-functional teams in an Agile environment, manages priorities, improves platform resiliency, and mentors junior engineers.

Lead Data Scientist developing high-performance AI solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging AI technologies, creating prototypes and production capabilities, designing architectures and pipelines, collaborating across global teams, publishing research, filing patents, mentoring junior scientists, and leading solution delivery. The role requires Python, cloud, SQL, MLOps, API development, and strong communication and innovation skills.

Lead the research, design, and development of high-performance AI solutions using machine learning, deep learning, NLP, and language models. Build prototypes, products, architectures, and pipelines; conduct applied research; publish papers and file patents; and identify AI opportunities. Collaborate across global teams, mentor junior data scientists, communicate technical direction, and lead projects through solution delivery while applying strong software engineering and cloud practices.

Develop and maintain scalable cloud-native applications for Mastercard’s Virtual Card Services platform. Responsibilities include Java and Spring Boot development, API and microservice integration, testing, data migration, release management, production support, troubleshooting, Agile collaboration, and mentoring junior engineers.

Design, develop, test, deploy, and support scalable cloud-native virtual card applications using Java, Spring Boot, and PCF. Build APIs and microservices, support data migration and release management, troubleshoot production issues, and improve platform resiliency. Collaborate across distributed Agile teams, participate in architecture and delivery activities, ensure software quality through automated and manual testing, 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 microservices, manages data migration and release activities, develops automated and manual tests, troubleshoots production issues, and contributes to architecture, Agile ceremonies, software quality, security, and continuous improvement. Collaborates with cross-functional teams and mentors junior engineers while balancing platform stability, technical debt, and new feature delivery.