Top React Jobs in Dublin

Leads technical solution design, customer onboarding, implementation, and ongoing support for Open Finance and digital payment solutions. Coordinates commercial, product, and engineering teams, ensures compliance with standards and governance, creates technical documentation, manages stakeholders, and mentors junior team members. The role requires strong Java development, web technology knowledge, API and SDK integration experience, customer implementation leadership, and the ability to bridge business and technical discussions.

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.

Leads technical solution design, customer onboarding, implementation, and ongoing support for digital finance solutions. Coordinates commercial, product, and engineering teams, ensures governance compliance, develops technical documentation and repeatable processes, manages stakeholder relationships, and mentors junior team members. Requires strong Java development, architecture, API and SDK integration, customer implementation leadership, and the ability to bridge business and technical discussions.

Designs and builds scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Responsibilities include writing and reviewing tested code, collaborating with product and design teams, mentoring engineers, improving development processes, and delivering solutions for credit risk, portfolio optimization, and advertising analytics.

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.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, pipelines, APIs, and distributed systems. Partners with product managers and designers to deliver customer-focused features, improves engineering processes, reviews code, and mentors junior engineers. The role requires collaboration across teams and geographies while supporting analytics products for credit risk, portfolio optimization, and advertising insights.

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.

Designs, builds, tests, and maintains scalable full-stack analytics applications, responsive user interfaces, data models, APIs, and data pipelines. Collaborates with product managers, designers, customers, and global teams to deliver complex features. Ensures code quality, mentors junior engineers, improves development processes, and develops innovative solutions for credit risk, portfolio optimization, and advertising insights.

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.

Develop full-stack software for CarGurus' Canadian and UK dealer-facing products. Responsibilities include designing, building, testing, deploying, monitoring, and maintaining applications using Java, Spring Boot, React, JavaScript/TypeScript, AWS, and related technologies. Collaborate with engineers and product managers, integrate third-party APIs, contribute to service-oriented architecture, participate in code reviews, and help establish engineering practices in Dublin.

Design, build, and maintain scalable backend and full-stack solutions for restaurant guest experiences. Ship features end-to-end, collaborate with Product and Design, use AI-assisted development tools, monitor outcomes, and iterate based on real-world usage. Mentor engineers, contribute to technical design reviews, uphold software quality and testing standards, and help evolve engineering workflows and team productivity.

Build and maintain scalable software for Toast’s restaurant guest-experience products. Ship features end to end, collaborate with Product, Design, and Engineering, monitor real-world performance, and iterate rapidly. The role focuses on Java and Kotlin backend services while requiring frontend integration and openness to full-stack work. Engineers will also use AI-assisted development tools and LLM-based agents to improve productivity and pioneer new engineering workflows.

Build secure, scalable full-stack and cloud-native applications using Python, AI/ML, LLMs, generative AI, and IoT integrations. Responsibilities include designing architecture, developing backend and UI features, integrating connected-device data, analyzing datasets, troubleshooting production systems, and improving reliability. The role also requires delivering smart-building and workplace solutions using distributed systems, cloud platforms, microservices, and edge-computing patterns.

Leads full-stack software engineering for employee workforce technology platforms. Responsibilities include designing, developing, testing, reviewing, and operationalizing secure, scalable production software; guiding engineers, contractors, and vendors; promoting automated testing and secure coding; and governing responsible AI-assisted development. The role influences product design, technical operations, engineering standards, reusable frameworks, and automation while coaching senior engineers and serving as a technical subject matter expert.

Design, build, and maintain scalable software for Toast’s international mid-market restaurant customers. Deliver features end to end, collaborate with Product, Design, and Engineering, monitor outcomes, and iterate based on usage. The role involves backend and full-stack development across Java, Kotlin, React, and related technologies, use of AI-assisted development tools, and mentoring less experienced engineers through reviews and feedback.

Build and own high-quality, scalable frontend experiences for international dealer products using React and TypeScript. Collaborate with product, design, and engineering teams to design and deliver full-stack features, integrate services, ensure performance, security, and availability, troubleshoot production issues, and mentor junior engineers while helping establish the new Dublin office's engineering standards.

Leads software engineering for employee platforms, providing technical direction, designing and developing secure production systems, reviewing code, and ensuring operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, promotes automation, and serves as a subject matter expert. Requires advanced Python expertise, cloud-native experience, independent problem-solving, and leadership across engineering teams. Node.js and React experience is preferred.

Staff Software Engineer responsible for architecting, building, and scaling AI agent systems for restaurant marketing and demand generation. The role requires hands-on backend and full-stack development, technical leadership, cross-functional collaboration, mentoring, end-to-end feature delivery, and improving engineering workflows with AI tools. The engineer will design reliable systems, resolve performance bottlenecks, guide technical standards, and support product growth in a hybrid Dublin environment.

Build and lead scalable full-stack, data-intensive applications for analytics, experimentation, and decision-making. Responsibilities include team-level system design, distributed systems and API development, Databricks and Spark data processing, AI-powered agentic products using LLMs, performance optimization, cloud-native deployment, troubleshooting, secure coding, observability, CI/CD, and mentoring engineers.

Build and lead scalable full-stack, data-intensive applications and AI-powered products using distributed systems, cloud technologies, Databricks, Spark, and LLMs. Responsibilities include system design, API and service development, performance optimization, mentoring engineers, technical troubleshooting, secure coding, testing, observability, CI/CD, and cross-functional collaboration. The role guides team-level architecture and delivers reliable analytics-driven solutions for global customers.

Build and lead full-stack, data-intensive, analytics-driven applications for business experimentation and decision-making. Responsibilities include system design, distributed systems development, Databricks and Spark data processing, AI and LLM-powered products, performance optimization, cloud-native deployment, troubleshooting, testing, security, observability, CI/CD, and mentoring engineers.

Build and lead scalable full-stack, data-intensive, analytics-driven applications for Mastercard Services. Responsibilities include system design, distributed systems, APIs, Databricks and Spark development, AI-powered products and agentic workflows, performance optimization, cloud deployment, reliability improvements, technical mentoring, code reviews, testing, security, observability, and cross-functional solution delivery.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Responsibilities include system architecture, distributed systems, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud-native deployment, testing, observability, troubleshooting, and mentoring engineers.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Leads system design, builds distributed services and data pipelines with Databricks and Spark, develops LLM-based agentic workflows, resolves performance and reliability issues, and mentors engineers. Collaborates cross-functionally to deliver secure, maintainable cloud-native solutions using modern software engineering, testing, observability, and CI/CD practices.

Designs and develops scalable full-stack, distributed, data-intensive, and AI-powered applications. Leads system design, builds analytics and agentic workflows using Databricks, Spark, and LLM technologies, resolves performance and reliability issues, and translates business needs into secure technical solutions. The role also involves mentoring engineers, conducting design and code reviews, improving CI/CD and observability, supporting cloud-native production systems, and collaborating across teams.