Top React Jobs in Dublin

Design and build scalable, production-grade AI and agentic applications and platforms. Improve engineering productivity via AI-enabled workflows, CI/CD, automation, and developer tools. Partner with product and data science teams to take prototypes to production while ensuring reliability, security, observability, and maintainability.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply generative AI and agentic patterns to improve engineering productivity across the PDLC/SDLC. Collaborate with product, data science, and engineering teams to take AI-enabled solutions from prototype to production while ensuring reliability, security, and observability.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted tooling and automation, drive AI-enabled solutions from prototype to production, and collaborate with product, data science, and engineering teams to deliver secure, reliable, and maintainable systems.

Design, build, and productionize AI-enabled, agentic applications and platform capabilities. Improve engineering productivity via AI-driven workflows, CI/CD automation, and developer tooling. Collaborate with product, data science, and engineering teams to deliver secure, reliable, scalable solutions.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Apply AI patterns to improve engineering productivity across the product lifecycle, drive CI/CD and automation, partner with product and data science, evaluate emerging tools, and take AI-enabled solutions from prototype to secure, reliable production.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and cloud-native services while ensuring reliability, security, and measurable business impact.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-enabled workflows, CI/CD, automated testing, and cloud-native services. Partner across product, data science, and engineering to move prototypes to reliable, secure, observable production systems.

Design and build production-grade agentic AI applications and platform capabilities. Apply generative AI patterns and AI-assisted developer tooling to improve engineering productivity, productionize AI solutions, and drive platform innovation with a focus on reliability, security, and measurable business impact.

Build scalable, production-grade AI and agentic applications and platform capabilities. Apply Generative AI and agent patterns to improve engineering productivity across the SDLC, productionize AI solutions with reliability, security, and observability, and partner with product, data science, and engineering teams to deliver measurable business value.

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agent orchestration, generative AI, and developer tooling to improve engineering productivity. Partner across product, data science, and engineering to deliver secure, reliable, observable, and maintainable solutions from prototype to production.

Lead a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Lead a product-aligned engineering organization to build and operate a cloud-native Talent Performance platform. Own technology direction, architecture modernization, integrations, delivery, reliability, security, and governance. Manage multiple cross-functional teams, vendor relationships, and stakeholder alignment. Drive adoption of AI-assisted engineering with appropriate controls while ensuring production readiness, observability, cost governance, and measurable engineering KPIs.

Lead design and delivery of secure, scalable production software. Provide technical guidance, develop and review code, champion AI-assisted engineering practices and SDLC governance, and promote reusable automation and cloud-native solutions across teams.

Build and enhance full-stack, cloud-native applications focused on Java, integrating LLM/generative AI and IoT device data. Design and deliver microservices, ensure operational stability, troubleshoot production issues, create architecture artifacts, analyze large datasets, and integrate smart-building and edge computing solutions to improve user experiences and efficiency.

Lead front-end architecture and delivery for complex React+TypeScript web applications, mentor engineers, define standards (components, state, testing), drive performance, accessibility, security, API integration (GraphQL/REST), and adopt AI-assisted engineering practices to improve code quality, delivery, and operational outcomes.

Lead and mentor a software engineering team to architect, design, and deliver scalable, secure microservices using Java/Spring Boot and cloud platforms. Oversee the SDLC, enforce code quality and testing, drive CI/CD and modern engineering practices, collaborate cross-functionally, and resolve technical challenges to continuously improve product delivery.

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.

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.

Seeking a Software Engineer to enhance MongoDB Atlas by developing observability tools, contributing to coding best practices, and collaborating with team members. Responsibilities include fixing production issues and engaging in technical discussions.

The Engineering Manager will lead the PASS team, overseeing the development of the purchase and subscription experience, managing a full-stack team, and collaborating with cross-functional partners to drive revenue through innovative solutions and continuous improvement.

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.