Top React Jobs in Dublin

Designs, develops, and leads large-scale distributed software systems, internal developer platforms, and data-driven interfaces. The role spans Java/Spring Boot backend development, React and TypeScript frontend development, cloud-native AWS and Kubernetes environments, testing, performance optimization, secure coding, observability, incident response, and CI/CD. The engineer provides technical leadership through architecture, code reviews, mentoring, troubleshooting, and cross-functional delivery ownership.

Lead the architecture, development, testing, performance optimization, security, and production support of internal developer platforms. Build backend services and React/TypeScript interfaces using Java, Spring Boot, AWS, Kubernetes, and cloud-native technologies. Drive CI/CD, observability, incident resolution, code quality, secure coding, and distributed-systems reliability while mentoring engineers and influencing technical roadmaps.

Designs, develops, and operates scalable internal developer platforms and distributed systems. Leads software architecture, backend and frontend development, testing strategy, performance optimization, secure coding, CI/CD quality gates, incident resolution, observability, and production support. Provides technical leadership through code reviews, mentoring, cross-functional roadmap collaboration, and development of data-driven interfaces using Java, Spring Boot, React, and TypeScript.

Leads end-to-end design, development, testing, performance optimization, security, and operational support for internal developer platforms and distributed systems. Builds backend services and React/TypeScript interfaces, establishes architecture and quality standards, integrates CI/CD and cloud-native technologies, resolves complex production incidents, and mentors engineers. The role also drives observability, reliability, secure coding, technical roadmaps, and cross-functional engineering initiatives.

Leads the design, development, testing, performance optimization, security, and production support of distributed software systems and internal developer platforms. Builds backend services with Java and Spring Boot, frontend applications with React and TypeScript, and cloud-native solutions using AWS and Kubernetes. Owns architecture, CI/CD, observability, incident resolution, code quality, and technical leadership while mentoring engineers and driving cross-functional initiatives.

Lead architecture, development, testing, performance optimization, security, troubleshooting, and operational excellence for internal developer platforms and distributed systems. Build backend services and React/TypeScript interfaces using Java, Spring Boot, AWS, Kubernetes, and cloud-native technologies. Establish engineering standards, CI/CD quality gates, observability, and secure coding practices while mentoring engineers and driving cross-functional technical initiatives.

Lead the architecture, development, testing, performance optimization, security, and operational reliability of internal developer platforms and distributed software systems. Build backend services with Java and Spring Boot, frontend applications with React and TypeScript, and cloud-native solutions using AWS and Kubernetes. Drive CI/CD, observability, incident resolution, code reviews, technical standards, cross-functional initiatives, and mentoring across engineering teams.

Leads the design, development, testing, performance optimization, security, and production support of scalable distributed systems and internal developer platforms. Builds backend services with Java and Spring Boot, frontend applications with React and TypeScript, and cloud-native solutions using AWS and Kubernetes. Owns architecture, CI/CD, observability, incident resolution, code quality, and cross-functional engineering initiatives while mentoring engineers and advancing developer experience.

Leads the design, development, testing, performance optimization, security, and production support of large-scale distributed systems and internal developer platforms. Builds backend services with Java and Spring Boot, frontend applications with React and TypeScript, and cloud-native solutions using AWS and Kubernetes. Establishes architecture and quality standards, manages CI/CD and infrastructure as code, resolves complex incidents, improves observability and reliability, conducts code reviews, and mentors engineers across teams.

Lead architecture, development, testing, performance optimization, security, and production support for internal developer platforms. Build backend services and React/TypeScript interfaces using Java, Spring Boot, AWS, Kubernetes, and cloud-native technologies. Drive CI/CD, observability, reliability, secure coding, incident resolution, code reviews, technical roadmaps, and cross-team engineering initiatives while mentoring engineers and improving developer experience.

Designs, builds, and leads enterprise internal developer platforms across backend, frontend, and cloud-native environments. Owns software architecture, distributed systems, testing, performance optimization, secure coding, CI/CD, observability, incident management, and production reliability. Develops React and TypeScript interfaces, Java and Spring Boot services, and Backstage-based platforms. Provides technical leadership through code reviews, mentoring, cross-functional roadmap ownership, and engineering standards.

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.

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.

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 partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.

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.

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.

Design and build Agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, develop frontend (React/Next.js) and backend (Java/Python) systems, improve developer experience via automation and CI/CD, and partner with stakeholders from prototype to validation while sharing best practices.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Design, build, and scale agentic and generative AI tooling, services, and developer-facing platforms. Implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with product and business stakeholders to prototype and productionize solutions.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

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.