Top React Jobs in Dublin

Lead design and delivery of scalable full-stack solutions (Java Spring Boot + React). Drive architecture, API contracts, microservices, CI/CD, observability, security, testing, and operational excellence. Mentor engineers, manage cross-team dependencies, and partner with product and stakeholders to meet enterprise requirements and improve engineering quality and reliability.

Lead end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot + React). Drive architecture, API contracts, microservices design, CI/CD, observability, security, performance standards, mentor engineers, own production readiness and SLOs, and coordinate cross-team delivery to improve engineering quality and reliability.

Lead the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and business teams, and provide technical leadership for customer integrations and platform adoption.

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.

Leads the design, development, and delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from research through production, designs secure and resilient architectures, automates software delivery and operations, and collaborates with global engineering, data, product, operations, and customer teams. Serves as a technical subject matter expert, supports integrations, and improves platform performance, reliability, and customer experience.

Leads applied AI and data science initiatives, designing and developing machine learning, deep learning, NLP, and LLM solutions. Builds prototypes, products, architectures, and pipelines; researches emerging AI technologies; mentors junior data scientists; collaborates globally on innovation and R&D; communicates technical direction; and contributes to research papers and patents.

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 applied AI and data science research to develop high-performance solutions using machine learning, deep learning, NLP, and large language models. Designs architectures, prototypes, APIs, and production capabilities; researches emerging AI technologies; mentors junior scientists; collaborates globally on innovation initiatives; and contributes to research publications, patents, technical communications, and project delivery.

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.

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 end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot backend and React frontend). Define API contracts, microservice boundaries, CI/CD, observability, security, and performance standards. Mentor engineers, drive architecture and reliability, own production readiness and SLOs, and coordinate cross-team delivery to improve quality, velocity, and system stability.

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 integrations and solution adoption.

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 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 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.

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 the planning, architecture, development, and delivery of scalable, secure software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from research through production, champions automation across the software lifecycle, collaborates with global engineering and business teams, and provides technical leadership for customer integrations and platform adoption.

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.

Lead design and delivery of full-stack React and Java/Spring solutions. Architect scalable microservices, define APIs and UI patterns, set CI/CD, observability and security standards, mentor engineers, own production readiness and SLOs, and drive cross-team delivery and engineering quality.

Lead the planning, architecture, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and product teams, and provide technical leadership for customer integrations. Ensure solutions are secure, resilient, maintainable, and aligned with enterprise standards.

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

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 AI architectures and pipelines, contributing to patents and research papers, mentoring junior scientists, presenting technical direction, and collaborating globally on innovation and R&D initiatives.

Develops production-ready agentic AI systems and scalable integrations using AI-first software engineering practices. Evaluates models, tools, and emerging standards while building across the full SDLC. Presents demos, workshops, and technical thought leadership to engineers and executives, collaborates in an R&D environment, mentors colleagues, and promotes developer experience, security, and code quality.

Build AI-first, production-ready software and agentic AI systems using multi-agent workflows, tool-calling, and orchestration. Evaluate AI models, develop scalable integrations, and apply emerging standards such as MCP and AGENTS.md. Serve as an AI developer advocate through demos, workshops, and executive presentations. Collaborate in an R&D environment, mentor engineers, promote developer experience and code quality, and accelerate innovation across Mastercard.

Develops production-ready agentic AI systems and scalable integrations using AI-first software engineering practices. Designs multi-agent workflows, evaluates AI models, applies emerging standards, and works across the full software development lifecycle. The role also includes developer advocacy through demos, workshops, thought leadership, and executive presentations, while mentoring engineers and advancing code quality, developer experience, and innovation.