Top React Jobs in Dublin

Lead design and delivery of full-stack, high-volume solutions (Java Spring Boot backend + React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and operational excellence. Mentor engineers, manage cross-team dependencies, and improve engineering quality, performance, and production readiness.

Lead end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot + React). Drive architecture, API contracts, microservices design, CI/CD, observability, security, performance standards, mentor engineers, own production readiness and SLOs, and coordinate cross-team delivery to improve engineering quality and reliability.

Lead design and delivery of full-stack, high-performance solutions (Java Spring Boot + React). Architect scalable microservices and UI components, define APIs and CI/CD, ensure reliability, security, observability, and production readiness, mentor engineers, and drive cross-team delivery and engineering quality.

Lead end-to-end design and delivery of full-stack, scalable React and Java/Spring Boot solutions. Drive API contracts, microservices architecture, CI/CD, observability, security and performance standards. Mentor engineers, own production readiness and SLOs, and partner with product and architecture to improve engineering quality and delivery across teams.

Lead design and delivery of full-stack, high-performance solutions (Java Spring Boot + React). Architect scalable microservices and UI systems, define APIs, CI/CD and observability standards, mentor engineers, own production readiness, and drive cross-team delivery and engineering quality improvements.

Lead design and delivery of full-stack React and Java/Spring solutions. Architect scalable microservices, define APIs and UI patterns, set CI/CD, observability and security standards, mentor engineers, own production readiness and SLOs, and drive cross-team delivery and engineering quality.

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.

Lead end-to-end design and delivery of scalable full-stack solutions (Java Spring Boot backend and React frontend). Drive architecture, API contracts, microservices, CI/CD, observability, security, and performance standards. Mentor engineers, own production readiness and SLOs, reduce operational toil, and partner with product and cross-functional stakeholders to ensure enterprise requirements are met.

Lead end-to-end design and delivery of scalable full-stack 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 reliability, own production readiness and SLOs, and coordinate cross-team delivery to improve quality, velocity, and system stability.

Lead design and delivery of scalable full-stack solutions (Java Spring Boot + React). Drive architecture, API contracts, microservices, CI/CD, observability, security, testing, and operational excellence. Mentor engineers, manage cross-team dependencies, and partner with product and stakeholders to meet enterprise requirements and improve engineering quality and reliability.

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 technical design and delivery of Klaviyo's messaging pipeline, building scalable backend services (Python/Go), driving architecture, mentoring engineers, collaborating across product, compliance, and platform, and ensuring high-throughput, reliable message delivery at scale.

Design, build, and own highly scalable, highly available messaging infrastructure that processes hundreds of millions to billions of messages daily. Collaborate across teams on architecture, performance, monitoring, and reliability; mentor engineers; improve development and experimentation processes; participate in hiring and technical design.

Design, build, and own features and services for Klaviyo's large-scale messaging platform. Drive performance, scalability, monitoring, and reliability for a pipeline that delivers hundreds of millions to billions of messages. Collaborate across teams, mentor engineers, and participate in hiring and technical process improvements.

The Staff Software Engineer will develop AI agents for restaurant workforce management, utilizing Java or Kotlin and modern web technologies. Responsibilities include full-stack development, collaboration across teams, mentoring, and championing best practices in agent development.

Lead design and deliver production-grade agentic AI applications and platform capabilities. Drive architecture, implementation, observability, security, CI/CD, and cross-functional delivery while mentoring engineers and shaping roadmaps for scalable, reliable AI-powered services.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.

Lead design and deliver production-grade agentic AI applications and cloud-native services. Define engineering patterns, ensure security, observability, and reliability, drive SDLC improvements, mentor engineers, collaborate with AI, product, and platform teams, and move prototypes to governed production.

Lead hands-on design and delivery of secure, scalable agentic AI applications and platform capabilities. Drive architecture, implementation, SDLC, observability, security, and cross-functional collaboration to take AI solutions from prototype to governed production. Mentor engineers and shape roadmaps to enable reliable, maintainable, and high-impact product delivery.

Lead design and deliver production-ready agentic AI applications and platform capabilities. Define engineering patterns, drive end-to-end SDLC, mentor engineers, ensure security, observability, reliability, cost controls, and collaborate with Product, Applied AI, Data Science, and stakeholders to move AI solutions from prototype to governed production.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability, and cost control. Drive SDLC, mentor engineers, collaborate with product and AI teams, and translate concepts into governed, scalable production deployments.

Lead design and delivery of secure, scalable agentic AI applications and cloud-native services. Drive architecture, implementation, observability, CI/CD, and governance; mentor engineers and collaborate with product, AI, security, and platform teams to move AI solutions from prototype to production.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.

Lead hands-on design and delivery of agentic AI applications and platform capabilities. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve AI-enabled developer workflows, ensure security, observability, resiliency and cost control, mentor engineers, and collaborate with product, data science, and security teams to move prototypes to governed production.