Top React Jobs in Dublin

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.

Build and deploy production-grade, LLM-enabled applications for strategic enterprise customers. Own backend services, data orchestration, front-end integrations, APIs, vector databases, LLM pipelines, reusable SDKs, prompts, and developer tooling. Work onsite with customers, integrate legacy systems, iterate in agile sprints, improve platform capabilities, and deliver secure, scalable AI solutions. The role requires extensive software engineering experience, customer-facing implementation expertise, cloud and DevOps fluency, and travel up to 30%.

Designs and builds scalable ServiceNow CRM features, customer service workflows, integrations, and AI-enabled experiences. Owns software components end to end from architecture and implementation through testing and deployment. Develops prototypes, optimizes performance, establishes engineering best practices, supports production systems, and mentors engineers. Requires expertise in Java, JavaScript or TypeScript, React, APIs, data modeling, testing, CI/CD, LLM integrations, agent orchestration, and production incident response.

Build and maintain backend services, REST APIs, and integrations supporting internal platforms, data products, analytics, and customer applications. Collaborate with product, architecture, data engineering, and data science teams to deliver secure, scalable solutions. Participate in design, coding, testing, code reviews, CI/CD, production support, troubleshooting, root cause analysis, monitoring, automation, and reliability improvements.

Develop and maintain secure, scalable backend services, RESTful APIs, and integrations supporting internal platforms, data products, and customer applications. Collaborate with product, architecture, data engineering, and data science teams; participate in design, testing, code reviews, CI/CD, production support, troubleshooting, and root cause analysis. Apply secure coding, observability, automation, and reliability practices across the software development lifecycle.

Designs, develops, tests, and maintains backend services, RESTful APIs, and integration components. Builds secure and scalable solutions, collaborates with product, architecture, data engineering, and data science teams, and supports CI/CD, automation, monitoring, production troubleshooting, and root cause analysis. The role contributes to software quality, reliability, secure coding, and continuous engineering improvements.

Design, develop, test, and maintain backend services, RESTful APIs, and integration components. Collaborate with product, architecture, data engineering, and data science teams to deliver secure, scalable solutions. Participate in code reviews, CI/CD, production support, troubleshooting, root cause analysis, monitoring, automation, and reliability improvements while following security, privacy, and compliance standards.

Design, develop, test, and maintain backend services, RESTful APIs, and integration components. Build secure and scalable solutions, collaborate with product, architecture, data engineering, and data science teams, and support CI/CD, monitoring, troubleshooting, production reliability, and continuous improvement. Apply secure coding, privacy, compliance, and operational readiness practices throughout the software lifecycle.

Develop and maintain secure, scalable backend services, RESTful APIs, and integrations supporting data, analytics, and AI-enabled capabilities. Collaborate with product, architecture, data engineering, and data science teams to deliver production-ready solutions. Responsibilities include software design, coding, testing, code reviews, CI/CD automation, troubleshooting, root cause analysis, observability, secure coding, and production support.

Develop and maintain secure, scalable backend services, RESTful APIs, and integration components. Collaborate with product, architecture, data engineering, and data science teams to deliver production-ready solutions. Participate in design, testing, code reviews, CI/CD, monitoring, troubleshooting, root cause analysis, and reliability improvements while following security, privacy, and compliance standards.

Build and maintain backend services, RESTful APIs, and integration components supporting scalable data, analytics, and AI-enabled capabilities. Collaborate with product, architecture, data engineering, and data science teams to deliver secure, reliable software. Participate in design, coding, testing, code reviews, CI/CD, troubleshooting, root cause analysis, monitoring, automation, and production support while following security, privacy, and compliance standards.

Develop and maintain backend services, RESTful APIs, and integration components supporting internal platforms, data products, analytics, and AI-enabled capabilities. Collaborate with product, architecture, data engineering, and data science teams; participate in design, testing, code reviews, CI/CD, monitoring, and production support. Troubleshoot issues, perform root cause analysis, apply secure coding practices, and improve service reliability, automation, and delivery processes.

Develop and maintain secure, scalable backend services, RESTful APIs, and integrations supporting data, analytics, and AI-enabled capabilities. Collaborate with product, architecture, data engineering, and data science teams to deliver production-ready solutions. Participate in design, coding, testing, code reviews, CI/CD, monitoring, troubleshooting, root-cause analysis, and reliability improvements while following security and compliance standards.

Design, develop, test, and maintain backend services, RESTful APIs, and integration components. Build secure, scalable solutions; collaborate with product, architecture, data engineering, and data science teams; troubleshoot production issues; support CI/CD automation, monitoring, code reviews, and software delivery improvements.

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, maintain, and monitor scalable backend and full-stack solutions for international mid-market restaurant customers. Ship features end-to-end, collaborate with Product, Design, and Engineering, and iterate based on real-world usage. The role requires strong software development fundamentals, backend or full-stack experience, frontend integration skills, effective communication, agile delivery, and interest in AI-assisted development using LLM-based tools.

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 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.

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 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 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.