Top React Jobs in Dublin

Lead a cross-functional engineering team to design, build, and deliver full-stack web applications and data pipelines. Provide technical direction, mentor engineers, collaborate with product, drive architecture and process improvements, and contribute as a hands-on implementer to scale platform solutions for global customers.

Lead and deliver secure, scalable cloud-native software across Python/Node.js/React stack. Design, develop, test, and operate production services, mentor engineers, drive architecture and CI/CD/IaC standards, and champion responsible AI-assisted engineering practices and operational stability.

Build and maintain the reporting and analytics layer for restaurant customers: backend services in Kotlin/Java, design GraphQL/REST APIs and platform frameworks, integrate AI-native features, work with data pipelines/OpenSearch, and collaborate cross-team to deliver useful, production-quality reporting experiences.

The Staff Software Engineer will design and develop frontend experiences for retail, collaborating with cross-functional teams and mentoring others while ensuring high-quality, scalable features.

The Lead Software Engineer will manage a cross-functional engineering team, design and develop complex technical products, and lead strategic direction in an agile environment, focusing on customer-centric solutions and collaboration across teams.

The Senior Software Engineer will design, build, and enhance full stack applications, mentor team members, and collaborate with cross-functional teams to drive innovation in analytics products.

Design, develop, and test scalable backend systems with a development-first mindset. Build and maintain API/UI automation frameworks, enhance CI/CD pipelines, drive shift-left testing, support performance/security/reliability efforts, perform code reviews, troubleshoot distributed systems, and promote quality-first engineering practices across teams.

This role involves building AI agents for workforce management in restaurants, requiring full-stack development and collaboration with product teams to enhance operations and customer experience.

As a Principal Software Engineer, you will architect and lead AI Foundations projects, mentor engineers, and ensure quality standards across the AI platform.

Lead the software development lifecycle for dealer-facing products, overseeing full-stack feature development, integrations, and modernization using cloud technologies.

As a Senior Software Development Engineer, you will design, develop, and maintain full-stack features and APIs, collaborating with teams to deliver impactful solutions for international markets.

The software engineer will work on full software development lifecycle, focusing on building dealer products and integrating with existing services. Responsibilities include designing, coding, testing, and maintaining applications using Java, Spring Boot, React, and TypeScript.

Lead backend engineer for Mobile Appstore/Mobile Kit teams designing, building, testing, and operating backend microservices. Deliver secure, high-quality production code, adopt enterprise AI-assisted engineering, embed automated testing and CI/CD, ensure observability and operational stability, eliminate toil via automation, and evaluate vendor/architectural solutions.

As a Principal Software Engineer, you will lead full-stack design of AI solutions, drive architecture, mentor engineers, and collaborate across teams to solve complex problems at Toast.

Lead and manage an engineering team on the Atlas Growth team to design, build, test, and ship new Atlas features. Define roadmaps with stakeholders, contribute to technical architecture, mentor engineers, and collaborate with product, design, and analytics to improve onboarding, monetization, and cluster management for B2B customers.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

The Staff Software Engineer will develop AI agents for restaurant workforce management, utilizing Java or Kotlin and modern web technologies. Responsibilities include full-stack development, collaboration across teams, mentoring, and championing best practices in agent development.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.