Top React Jobs in Dublin

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration and AI-assisted workflows, drive automation and CI/CD, ensure reliability, security, and observability, and create reusable services that improve developer productivity and scale AI-enabled solutions across the organization.

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, LLMs, and AI-assisted workflows to improve engineering productivity. Build reusable services, ensure security, reliability, and observability, and drive CI/CD, automation, and developer experience across cloud-native environments.

Design and build production-grade, AI-enabled and agentic applications and developer platforms. Apply agentic/LLM patterns to improve engineering productivity, drive CI/CD and automation, ensure reliability, security, observability, and scalability, and create reusable frameworks and services across cloud-native environments.

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, LLMs, and AI-assisted workflows to improve engineering productivity. Deliver scalable, secure, observable services in cloud-native environments and drive reusable frameworks, CI/CD automation, and engineering best practices.

Build scalable, production-grade AI and agentic applications and developer platforms. Design reusable services and frameworks, improve engineering productivity via AI-assisted workflows, ensure reliability, security, and observability, and partner across product, data science, and engineering to take AI-enabled solutions from prototype to production.

Design and build scalable production systems and developer platforms that leverage generative AI and agentic workflows. Implement cloud-native services, CI/CD, automation, observability, and security to productionize AI-enabled solutions. Partner with product and data science to deliver reusable frameworks, improve engineering productivity with AI-assisted workflows, and drive architecture and best practices across teams.

Design and build production-grade agentic AI applications and platform capabilities. Apply AI patterns to improve engineering productivity, automate PDLC/SDLC, ensure reliability/security/governance, partner cross-functionally, and deliver reusable frameworks and services for scale.

As a Principal Software Engineer, you will lead full-stack design of AI solutions, drive architecture, mentor engineers, and collaborate across teams to solve complex problems at Toast.

Design and build automated data migration solutions at cloud scale for MongoDB Atlas. Collaborate with teams to enhance features, solve technical challenges, and mentor others.

The Senior Software Engineer will develop observability tools for MongoDB, enhancing user insight into database performance and reliability while tackling large-scale system challenges.

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.

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.

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 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.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

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.

Design and build scalable, production-grade AI and agentic applications and platform capabilities. Improve engineering productivity via AI-assisted workflows, CI/CD, automation, and observability. Collaborate with product, data science, and engineering teams to move AI solutions from prototype to production while ensuring security, reliability, and maintainability.

Design and build scalable, production-grade agentic AI applications and platform capabilities. Apply AI and agentic patterns to improve developer productivity across the SDLC, build cloud-native services, automate PDLC/CI-CD workflows, and partner with product and data science to deliver secure, reliable, production AI solutions.

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.

Design and build scalable, production-grade AI and agentic applications and platforms. Apply agentic patterns and AI tooling to improve developer productivity, CI/CD, testing, reliability, and security. Partner with product, data science, and engineering to take prototypes to production and evaluate emerging tools.

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.

Design and build production-grade AI and agentic applications and platforms. Apply agentic patterns to improve engineering productivity, implement CI/CD and automation, deploy cloud-native services, and collaborate with product and data science to deliver secure, reliable, scalable AI-enabled solutions.

Design, build, and productionize scalable AI and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, RAG, inference APIs, and AI tooling to improve developer productivity. Deliver cloud-native services using Kubernetes and managed AWS/Azure services, ensuring reliability, observability, security, and maintainability. Partner with product, data science, and engineering teams to translate ideas into production-grade solutions and drive technical innovation.

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.