Top React Jobs in Dublin

Develop and maintain accessible, responsive React user interfaces for pharmaceutical analytics products. Integrate RESTful APIs, write automated tests, contribute to CI/CD pipelines, deploy cloud-hosted applications, troubleshoot production issues, apply secure development practices, and collaborate within an Agile engineering team. The role also involves using AI coding agents responsibly, supporting design systems, and continuously improving front-end standards, tooling, and delivery practices.

Designs, develops, tests, and delivers scalable ServiceNow CRM features for customer service workflows, case management, work orders, and guided agent experiences. Owns components end to end, including integrations, performance optimization, prototypes, and production deployments. Works with product, design, and platform teams; applies AI technologies such as LLM APIs and autonomous workflows; participates in on-call incident response; and mentors engineers.

Designs and builds scalable ServiceNow CRM features for customer service workflows, including case management, work orders, integrations, and AI-guided agent experiences. Owns software components from architecture through testing and deployment, improves performance and reliability, evaluates ServiceNow capabilities, and leads technical initiatives. The role also develops LLM-powered workflows, prototypes, and evaluation systems; handles on-call incidents; establishes engineering best practices; and mentors other engineers.

Develop and support secure, scalable Java and Spring Boot backend services and REST APIs for pharmaceutical data analytics products. Responsibilities include architecture, API design, testing, code reviews, cloud deployment, CI/CD, observability, performance optimization, production troubleshooting, and collaboration with data engineering and product teams. The role also involves mentoring colleagues, using AI coding agents responsibly, and implementing multi-tenant security, authentication, authorization, and reliable data integrations.

Build and deploy production-grade, LLM-enabled applications spanning backend services, data orchestration, vector databases, and front-end interfaces. Work directly with strategic customers in agile sprints, integrate solutions with legacy systems, and iterate in live environments. Create reusable SDKs, libraries, prompts, scaffolds, and documentation while influencing platform strategy. The role requires full-stack engineering, AI/ML and LLM tooling expertise, distributed-systems debugging, cloud deployment, observability, and up to 30% travel.

Design, build, and maintain scalable backend and full-stack systems for Toast’s restaurant loyalty and marketing products. Lead technical architecture, write production code, resolve performance bottlenecks, collaborate with product and design, mentor engineers, and ship features end-to-end. Apply AI agentic development practices and LLM integrations while ensuring reliability, security, code quality, and continuous product improvement.

Build and scale Toast’s labor cost and timekeeping platforms, processing tens of millions of shift events weekly. Responsibilities include designing, implementing, testing, deploying, operating, and improving backend systems; owning production services; partnering with product and design; conducting code reviews; and mentoring engineers. The role focuses on reliable, maintainable, data-intensive systems operating at massive scale.

Design, build, and maintain scalable software for Toast’s international mid-market restaurant customers. Deliver backend and full-stack features end to end, collaborate with Product, Design, and Engineering, monitor production outcomes, maintain high code quality, and mentor engineers. The role also emphasizes AI-assisted development, agile delivery, customer impact, and working across Java/Kotlin backend services, React applications, Android, GraphQL, PostgreSQL, and DynamoDB.

Design, build, and maintain scalable software that improves restaurant guest experiences. Ship features end to end, collaborate with Product and Design, apply AI-assisted development tools, and monitor product outcomes. Mentor engineers through design reviews and feedback while contributing to a high-ownership engineering culture. The role focuses on backend and full-stack development using Java and Kotlin, with opportunities to work across frontend, mobile, and AI-enabled workflows.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

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.

Designs and builds scalable ServiceNow CRM features for customer service workflows, including case management, work orders, and guided agent experiences. Owns software components through design, development, testing, deployment, and optimization. Develops AI-powered workflows using LLM APIs, retrieval-grounded features, agent orchestration, and structured outputs. Partners with product and design teams, establishes engineering best practices, handles incidents, and mentors engineers.

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, develop, and maintain scalable software for BidX1’s auction platform and partner products. Build backend services, APIs, integrations, real-time features, and front-end applications. Contribute to architecture, testing, code reviews, performance optimization, debugging, documentation, and technical debt reduction. Collaborate with Product, DevOps, QA, and stakeholders to deliver secure, reliable releases using Agile and modern CI/CD practices.

Lead UI and interaction design for Citi’s enterprise CI/CD platform used by over 10,000 engineers. Own designs from wireframes and user flows through high-fidelity Figma deliverables, interactive prototypes, design-system components, accessibility implementation, and developer handoff. Collaborate closely with Product, engineering, and users in an agile environment, contribute to token-based design systems, and use AI-assisted workflows and occasional coded prototypes to accelerate delivery.

Lead UI and interaction design for Citi’s enterprise CI/CD developer platform. Create wireframes, high-fidelity Figma designs, interactive prototypes, design-system components, tokens, and developer handoff documentation. Collaborate with product owners, engineers, and users in an agile environment, applying accessibility standards and AI-assisted workflows. Own design quality, facilitate critiques, manage deliverables in Jira, and support production-ready implementation across complex developer tooling experiences.

Build and maintain Brightflag’s frontend web application using React and TypeScript. Own features from requirements through production, contribute to frontend architecture, write design documentation, improve reliability, respond to incidents, and use AI coding agents such as Claude Code. Collaborate with Product, Design, and engineering teams while contributing through code reviews, planning, onboarding, and tooling improvements.

Designs and implements solutions for an AI insights product serving the North American wealth management market. Responsibilities include solution architecture, prototyping, innovation leadership, customer demonstrations, and technical leadership of software implementations. The role requires strong software development skills, testing practices, cloud and database experience, Agile familiarity, collaborative design, and the ability to rapidly learn new technologies. Experience with data warehousing, machine learning, AI, UI frameworks, and modern data platforms is preferred.

Develop digital applications and polished demos showcasing Contentful across web, mobile, internal tooling, and AI use cases. Build integrations, prototypes, demo environments, tutorials, and technical videos while applying frontend, backend, QA, and DevOps skills. Collaborate with Sales, Product, Engineering, Design, Marketing, and partners; provide product feedback, conduct workshops, and coach engineers. The role requires strong JavaScript, TypeScript, React, API, GraphQL, CI/CD, and modern frontend expertise.

Design, build, support, and architect backend-focused full-stack software for Learnosity AI Labs. Responsibilities include delivering products from ideation through release, planning and estimating work, collaborating with stakeholders, maintaining documentation, troubleshooting complex issues, and developing scalable solutions. The role requires strong Python web development, database, testing, backend architecture, and Agile experience, with preferred exposure to AI, data warehousing, AWS data technologies, Docker, React, CI/CD, and startup environments.

Own the vision, roadmap, and hands-on execution of IFS’s greenfield Internal Developer Platform. Build the service catalogue, developer portal, self-service scaffolding, golden paths, CI/CD integrations, authentication workflows, and developer experience from service creation through production. Drive adoption using feedback, analytics, platform metrics, and DORA measurements while partnering across engineering, infrastructure, IAM, and SRE teams. The role requires production Kubernetes expertise, AI application experience, strong platform engineering depth, and the ability to influence technical and product leaders.

Lead solution architecture and technical direction for securities-based lending products. Translate business needs into secure, scalable cloud-native solutions across applications, APIs, integrations, data, infrastructure, and distributed systems. Guide engineering squads through design and production delivery, establish architectural standards, modernize platforms, manage technical risks, support governance, and mentor technical leaders. This is a 12-month hybrid consultancy contract with possible extension.

Leads platform engineering initiatives delivering scalable cloud-native systems and AI-driven applications. Responsibilities include full software lifecycle execution, system design reviews, infrastructure and tooling development, ML framework integration, monitoring, and maintenance. The role mentors engineers, influences technical direction, collaborates cross-functionally on requirements, and drives continuous improvement across distributed systems and platform capabilities.