Top React Jobs in Dublin

Leads the design, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives technical architecture, automation, secure integrations, continuous deployment, and production reliability. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for Emerging Data Signals and supporting innovation from concept through production.

Lead planning, architecture, development, and delivery of scalable software solutions using AI models and emerging technologies. Drive innovation from concept through production, champion automation across the software lifecycle, collaborate with global engineering, data, product, and operations teams, and provide technical leadership for customer integrations. Ensure systems are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Leads the planning, design, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from research through production, designs secure architectures, 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.

Leads the planning, design, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from concept through production, designs secure and resilient architectures, 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, and user experience.

Leads the planning, architecture, development, and delivery of scalable 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. Ensures solutions are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Leads the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from concept through production, champions delivery automation, supports secure and resilient architectures, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for integrations and solution adoption while improving platform performance, reliability, and customer experience.

Leads the planning, architecture, development, and delivery of scalable software solutions using Java or Python and emerging AI technologies. Drives innovation from concept through production, champions automation across the software lifecycle, and ensures secure, resilient, maintainable systems. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for customer integrations and platform adoption.

Leads the planning, architecture, development, and delivery of scalable software solutions using AI models and emerging technologies. Drives innovation from concept through production, champions automation across the software delivery lifecycle, and ensures secure, resilient, high-performing systems. Collaborates with global engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for customer integrations and solution adoption.

Leads the design, development, and delivery of scalable software and AI-enabled solutions. Drives innovation from research through production, designs secure architectures, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Serves as a technical subject matter expert for Emerging Data Signals, supporting integrations, solution adoption, platform reliability, and continuous improvement.

Build and maintain accessible, responsive front-end experiences for complex enterprise web applications. Develop reusable UI components, integrate APIs, optimize performance, troubleshoot front- and backend issues, and contribute to UX design, AI-assisted prototyping, design systems, code reviews, Agile delivery, and mentoring. The role uses modern JavaScript frameworks and Microsoft technologies while supporting secure, compliant, high-quality software delivery.

Build and deploy production-grade, LLM-enabled applications for strategic enterprise customers. Own backend services, data orchestration, front-end integrations, APIs, vector databases, and AI pipelines while working onsite with customers. Develop reusable libraries, prompts, SDKs, scaffolds, and documentation; integrate legacy systems; improve platform tooling; and provide product feedback. Deliver secure, scalable solutions in agile sprints and influence AI platform strategy.

Own product features end-to-end across frontend and backend, from idea through production. Translate product concepts into high-quality experiences, make product and architectural decisions, build reusable systems, and use AI tools such as Claude, Codex, and Cursor to accelerate development. The role requires strong product thinking, hands-on technical ability, comfort with ambiguity, rapid iteration, and a focus on scalable, maintainable solutions.

Design, build, deploy, and maintain scalable backend microservices and RESTful APIs using Java or Kotlin and AWS. Lead cross-team platform projects, develop highly available distributed systems, monitor service health, participate in on-call rotations, and ensure quality through automated testing and phased releases. Collaborate with product, UX, and engineering teams, contribute to design reviews and code reviews, mentor engineers, and use AI tools in development workflows.

Lead complex software projects for Toast’s international platform. Design, build, deploy, and maintain resilient, scalable distributed systems; mentor engineers; guide technical discussions; debug multithreaded applications; collaborate with cross-functional teams and pilot customers; and promote engineering best practices. The role requires working across the technology stack and supporting global product launches in a hybrid Dublin office environment.

Design and build scalable ServiceNow CRM features for customer service workflows, including case management, work orders, integrations, and AI-powered agent experiences. Own software components through design, implementation, testing, deployment, and optimization. Develop LLM-driven workflows, prototypes, and production integrations while establishing engineering best practices. Troubleshoot customer-facing systems, participate in incident response, and mentor engineers.

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 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, 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.

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 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.

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 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.