Top React Jobs in Dublin

Designs and builds scalable ServiceNow CRM features for customer service workflows, including case management, work orders, and guided agent experiences. Owns software components from architecture through testing and deployment, develops AI-powered workflows using LLMs and agent orchestration, optimizes performance and reliability, leads technical initiatives, evaluates ServiceNow capabilities, and mentors engineers. Collaborates with product, design, and platform teams while supporting customer-facing systems and incident resolution.

Design, build, maintain, and monitor scalable backend and full-stack solutions for international mid-market restaurant customers. Ship features end-to-end, collaborate with Product, Design, and Engineering, and iterate based on real-world usage. The role requires strong software development fundamentals, backend or full-stack experience, frontend integration skills, effective communication, agile delivery, and interest in AI-assisted development using LLM-based tools.

Design, build, and maintain scalable backend and full-stack solutions for restaurant guest experiences. Ship features end-to-end, collaborate with Product, Design, and Engineering, use AI-assisted development tools, and mentor engineers through reviews and feedback. The role emphasizes Java and Kotlin backend services, React applications, AI agentic workflows, PostgreSQL, DynamoDB, agile delivery, and strong product ownership.

Lead development of scalable scheduling software for Toast’s restaurant workforce management product. Responsibilities include full-stack feature development, solution design, estimation, testing, debugging, technical reviews, mentoring developers, and collaboration with product managers, designers, customer success, and engineering stakeholders. The role also champions software quality and development practices, contributes to product decisions, and uses AI tools to improve engineering productivity. This is a hybrid position requiring two days per week in the Dublin office.

Lead end-to-end design and delivery of full-stack, high-volume 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 cross-team execution, ensure production readiness, and improve engineering quality, testing, and operational excellence.

Lead the design and development of AI solutions using machine learning, deep learning, NLP, and large language models. Research emerging AI technologies, build prototypes and products, develop solution architectures and pipelines, and identify opportunities for AI adoption. Collaborate across global teams, publish research, file patents, communicate technical direction, mentor junior data scientists, and lead project delivery.

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, 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.

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 the design, development, and delivery of scalable, secure software solutions using Java, AI technologies, and modern engineering practices. Drives innovation from research through production, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations while improving platform performance, reliability, security, and user experience.

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.

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.

Leads the planning, architecture, development, and delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from concept through production, champions automation across the software lifecycle, supports secure integrations, and improves platform performance and reliability. Collaborates with global engineering, data, product, operations, and customer teams while providing technical leadership for Emerging Data Signals solutions.

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.

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.

Lead design and delivery of full-stack, high-volume solutions (Java Spring Boot backend + React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and operational excellence. Mentor engineers, manage cross-team dependencies, and improve engineering quality, performance, and production readiness.

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.

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 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.