Top React Jobs in Dublin

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.

Develop and maintain full-lifecycle software applications supporting GM motorsports and race engineering operations. Responsibilities include performance tuning, debugging production systems, applying security and usability best practices, collaborating with engineering and trackside teams, participating in on-call support, and mentoring junior developers. The role requires weekend and shift work aligned with race and test schedules.

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, integrations, and AI-enabled agent experiences. Owns software components from architecture through testing and deployment, leads technical initiatives, evaluates platform capabilities, optimizes performance, establishes engineering best practices, and mentors engineers. Requires extensive experience with Java, JavaScript or TypeScript, React, AI/LLM technologies, system design, automated testing, CI/CD, and customer-facing production systems.

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, 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 the architecture, design, implementation, and delivery of enterprise-scale full-stack applications. Provides hands-on technical direction, establishes engineering standards, develops .NET and Azure solutions, supports APIs and databases, implements CI/CD and observability, manages technical risks, resolves complex issues, and mentors engineers. Collaborates with architects, product owners, UX teams, and client stakeholders while incorporating AI-assisted development practices.

Develop, test, support, and document enterprise software for Citco’s Private Equity technology platforms. Collaborate with developers, analysts, QA engineers, and product stakeholders; participate in design discussions and code reviews; troubleshoot production issues; and improve software quality, security, and efficiency. The role involves Python, Node.js, or C#, React, databases, REST APIs, cloud-native solutions, automated testing, source control, and AI-assisted development tools.

Lead full-stack engineering for Citi’s Investor Services applications, designing and delivering scalable Java backend services, React or Angular interfaces, REST and GraphQL APIs, Kafka-based event systems, and Docker/Kubernetes deployments. Provide architectural governance, technical mentorship, code reviews, DevOps leadership, stakeholder partnership, risk management, and hands-on resolution of complex technology problems in a financial-services environment.

Leads architecture, development, and delivery of scalable data and reporting applications for Citi’s futures and clearing platform. Responsibilities include full-stack software development, microservices and cloud-native architecture, CI/CD, API integrations, data quality, automated testing, production monitoring, and collaboration with business, QA, and technology teams. The role also provides technical leadership, mentorship, solution design, and strategic direction while modernizing reporting platforms.

Own the architectural direction and engineering quality of Lightspeed’s frontend platform. Build production software, improve performance, address technical debt, lead design and code reviews, maintain the component library and design system, and mentor UI developers. Partner with Product, Design, Backend, and Platform Engineering on scalable frontend architecture, CI/CD integrations, technical priorities, and delivery. Champion secure, tested AI-assisted development and drive technical work through completion.

Leads application development for Citi’s FX Hub Technology Team, designing, developing, and delivering .NET solutions for securities services foreign exchange order management. Responsibilities include system analysis, coding standards, architecture alignment, integration, process improvements, complex problem resolution, risk and compliance management, and coaching developers. The role requires expertise in .NET Core, T-SQL, React, Kafka, REST APIs, SQL Server, OpenShift, Docker, microservices, and project leadership.

Develop and maintain applications for Citi’s global financial technology systems. Responsibilities include contributing to or leading application systems development, analysis, and programming activities across the software lifecycle. Candidates need Core Java, Angular, and React experience, along with knowledge of end-to-end application development. Senior roles also require leadership experience.

Build and own end-to-end internal collaboration tools for Stripe employees, combining full-stack engineering with AI-native experiences. Develop rich web applications, workflow automations, MCP tooling, and LLM-powered capabilities while partnering with users and cross-functional teams. Use qualitative and quantitative metrics to prioritize work, improve productivity, maintain high engineering standards, and mentor newer engineers.

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.

Leads and mentors a software engineering team building secure, scalable, multi-tenant SaaS products on AWS. Responsibilities include architecture, technical roadmaps, delivery management, people leadership, production reliability, security and compliance, CI/CD, testing, and AI-assisted development. The role partners closely with Product and remains hands-on with Python development while driving engineering excellence and operational improvements.

Leads distributed software engineering teams delivering strategic private equity technology solutions. The role remains hands-on across architecture, design, development, code review, troubleshooting, production support, and cloud-native implementation. Responsibilities include mentoring engineers, improving engineering practices, using AI-assisted development tools, managing delivery estimates and risks, partnering with stakeholders, and ensuring secure, reliable, high-quality software delivery.