Top React Jobs in Dublin

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.

Build and maintain scalable software that helps restaurants improve guest experiences. Ship features end-to-end, collaborate with Product, Design, and Engineering, monitor outcomes, and iterate based on usage. The role involves Java and Kotlin backend development, frontend integration, AI-assisted development, agile delivery, testing, clean code, and cross-functional communication. This hybrid position requires working in the Dublin office two days per week.

Build and maintain frontend applications for an AI platform, including interactive embedding and model-output visualizations, self-service tools, internal AI-team tooling, and executive prototypes. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, production support, and usability for technical and nontechnical audiences while collaborating with software, data, and AI engineers.

Build and maintain frontend applications for AI products, including interactive embedding and model-output visualizations, self-service tools, internal AI-team tooling, and executive prototypes. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, production support, and code quality while collaborating with software, data, and AI engineers to serve both technical and nontechnical users.

Build and maintain production frontend applications for AI products using React and/or Python data-app frameworks. Develop interactive visualizations for embeddings and model outputs, self-service tools, internal AI-team tooling, and executive prototypes. Integrate applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, production support, and user experience for both technical and nontechnical audiences.

Build and maintain production frontend applications for AI platform tooling, including interactive embedding and model-output visualizations, self-service workflows, prototypes, and internal tools. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, production support, and usability for technical and nontechnical audiences while collaborating with software, data, and AI engineers.

Develop and maintain frontend applications for AI platform tooling, including interactive embedding visualizations, self-service workflows, internal tools, and executive demos. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, code quality, production support, and usability for both technical and nontechnical audiences.

Build and maintain production frontend applications for an AI platform, including interactive embedding and model-output visualizations, self-service tools, internal AI-team tooling, and executive demos. Integrate React or Python data applications with REST APIs, Databricks Apps, Unity Catalog, and asynchronous job workflows. Own frontend architecture, testing, documentation, deployment support, code quality, and production troubleshooting while designing intuitive experiences for both technical and nontechnical users.

Build and maintain frontend applications for AI platform tooling, including interactive embedding visualizations, self-service workflows, internal tools, and executive demos. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and backend services. Own frontend architecture, component quality, testing, documentation, production troubleshooting, and user experience across technical and nontechnical audiences.

Build and maintain frontend applications for an AI platform, including interactive embedding and model-output visualizations, self-service tools, internal AI-team tooling, and executive prototypes. Integrate React or Python-based applications with REST APIs and Databricks Apps, collaborate with software, data, and AI engineers, and own frontend architecture, testing, documentation, production support, and user experience for technical and nontechnical audiences.

Build and maintain production frontend applications for AI platform capabilities, including interactive embedding and model-output visualizations, self-service workflows, internal tools, and executive prototypes. Integrate React or Python-based applications with REST APIs and Databricks Apps, collaborate with AI, data, and software engineers, and own frontend architecture, testing, documentation, deployment, and production support.

Build and maintain production frontend applications for an AI platform, including interactive embedding and model-output visualizations, self-service tools, internal AI-team tooling, and executive demos. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and backend services. Own frontend architecture, testing, documentation, deployment, troubleshooting, and usability for technical and nontechnical audiences.

Develop and maintain frontend applications for AI platform tooling, self-service workflows, interactive embedding and model visualizations, and executive demos. Integrate React or Python-based applications with REST APIs, Databricks Apps, Unity Catalog, and backend services. Own frontend architecture, component quality, testing, documentation, production troubleshooting, and usability for both technical and nontechnical audiences.

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.

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.

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 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 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.

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 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.