Top React Jobs in Dublin

The Staff Software Engineer will lead complex projects, design and maintain scalable systems, mentor team members, and improve coding practices, focusing on international expansion.

This role involves building AI agents for workforce management in restaurants, requiring full-stack development and collaboration with product teams to enhance operations and customer experience.

As a Principal Software Engineer, you will architect and lead AI Foundations projects, mentor engineers, and ensure quality standards across the AI platform.

Lead the software development lifecycle for dealer-facing products, overseeing full-stack feature development, integrations, and modernization using cloud technologies.

The role involves managing and mentoring full stack engineers, shaping product roadmaps, delivering projects for international markets, and fostering team culture in Dublin.

As a Senior Software Development Engineer, you will design, develop, and maintain full-stack features and APIs, collaborating with teams to deliver impactful solutions for international markets.

The software engineer will work on full software development lifecycle, focusing on building dealer products and integrating with existing services. Responsibilities include designing, coding, testing, and maintaining applications using Java, Spring Boot, React, and TypeScript.

Design and build production-grade AI and agentic applications and platforms. Apply agentic patterns and AI tooling to improve developer productivity, automate PDLC/SDLC, ensure reliability, security, and observability, and create reusable frameworks and services across cloud-native environments.

Design and build production-grade AI and agentic applications and developer platforms. Apply agentic patterns, CI/CD, automation, and AI-assisted workflows to improve developer productivity, reliability, security, and observability. Partner across product, data science, and engineering to take AI solutions from prototype to production and create reusable services and frameworks.

Design and build scalable, production-grade AI and agentic applications and developer platforms. Apply agentic patterns and AI tooling to improve engineering productivity, reliability, security, and observability. Partner across product, data science, and engineering to take AI-enabled solutions from prototype to production, build reusable frameworks, and drive engineering standards and automation across the software development lifecycle.

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.

The Staff Software Engineer will design and develop frontend experiences for retail, collaborating with cross-functional teams and mentoring others while ensuring high-quality, scalable features.

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.