Top React Jobs in Dublin

Develops production-ready agentic AI systems and scalable integrations using AI-first software engineering practices. Designs multi-agent workflows, evaluates AI models, applies emerging standards, and works across the full software development lifecycle. The role also includes developer advocacy through demos, workshops, thought leadership, and executive presentations, while mentoring engineers and advancing code quality, developer experience, and innovation.

Leads the planning, architecture, development, and production delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from research through deployment, champions automation across the software lifecycle, collaborates with global engineering, data, product, operations, and customer teams, and serves as a technical subject matter expert. Ensures solutions are secure, resilient, maintainable, performant, and aligned with enterprise standards.

Staff Software Engineer responsible for architecting, building, and scaling AI agent systems for restaurant marketing and demand generation. The role requires hands-on backend and full-stack development, technical leadership, cross-functional collaboration, mentoring, end-to-end feature delivery, and improving engineering workflows with AI tools. The engineer will design reliable systems, resolve performance bottlenecks, guide technical standards, and support product growth in a hybrid Dublin environment.

Build and lead scalable full-stack, data-intensive applications for analytics, experimentation, and decision-making. Responsibilities include team-level system design, distributed systems and API development, Databricks and Spark data processing, AI-powered agentic products using LLMs, performance optimization, cloud-native deployment, troubleshooting, secure coding, observability, CI/CD, and mentoring engineers.

Build and lead scalable full-stack, data-intensive applications and AI-powered products using distributed systems, cloud technologies, Databricks, Spark, and LLMs. Responsibilities include system design, API and service development, performance optimization, mentoring engineers, technical troubleshooting, secure coding, testing, observability, CI/CD, and cross-functional collaboration. The role guides team-level architecture and delivers reliable analytics-driven solutions for global customers.

Build and lead full-stack, data-intensive, analytics-driven applications for business experimentation and decision-making. Responsibilities include system design, distributed systems development, Databricks and Spark data processing, AI and LLM-powered products, performance optimization, cloud-native deployment, troubleshooting, testing, security, observability, CI/CD, and mentoring engineers.

Build and lead scalable full-stack, data-intensive, analytics-driven applications for Mastercard Services. Responsibilities include system design, distributed systems, APIs, Databricks and Spark development, AI-powered products and agentic workflows, performance optimization, cloud deployment, reliability improvements, technical mentoring, code reviews, testing, security, observability, and cross-functional solution delivery.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Responsibilities include system architecture, distributed systems, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud-native deployment, testing, observability, troubleshooting, and mentoring engineers.

Designs and develops scalable full-stack, data-intensive, analytics-driven applications and AI-powered products. Leads system design, builds distributed services and data pipelines with Databricks and Spark, develops LLM-based agentic workflows, resolves performance and reliability issues, and mentors engineers. Collaborates cross-functionally to deliver secure, maintainable cloud-native solutions using modern software engineering, testing, observability, and CI/CD practices.

Designs and develops scalable full-stack, distributed, data-intensive, and AI-powered applications. Leads system design, builds analytics and agentic workflows using Databricks, Spark, and LLM technologies, resolves performance and reliability issues, and translates business needs into secure technical solutions. The role also involves mentoring engineers, conducting design and code reviews, improving CI/CD and observability, supporting cloud-native production systems, and collaborating across teams.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed services, APIs, Databricks and Spark development, LLM agentic workflows, performance optimization, cloud deployment, troubleshooting, testing, observability, secure coding, and mentoring engineers.

Designs and develops scalable full-stack, distributed, data-intensive applications and AI-powered products. Leads system design, API and data architecture, performance optimization, cloud deployments, testing, observability, and production support. Collaborates with cross-functional teams to translate business needs into secure technical solutions, troubleshoots complex platform issues, and mentors junior and mid-level engineers. The role includes developing Databricks and Spark applications, LLM-based agents, retrieval systems, and agentic workflows.

Build and lead scalable full-stack, data-intensive applications and AI-powered products. Responsibilities include system design, distributed systems, microservices, APIs, Databricks and Spark development, LLM-based agentic workflows, performance optimization, cloud deployment, testing, observability, troubleshooting, and mentoring engineers. The role translates business needs into secure, maintainable technical solutions and drives engineering quality, reliability, and production readiness.

Build and lead scalable full-stack, data-intensive applications using distributed systems, cloud technologies, Databricks, Spark, and AI agentic workflows. Responsibilities include system design, API and data architecture, performance optimization, troubleshooting, secure coding, testing, observability, CI/CD, production readiness, cross-functional collaboration, and mentoring engineers.

Build and operate foundational, security-critical platforms and cloud-native systems at scale. Automate infrastructure, reduce operational toil, define SLIs and SLOs, improve observability and incident response, perform capacity and performance analysis, and develop preventative reliability solutions. Participate in on-call rotations, post-incident reviews, technical design, and mentoring while collaborating with product, platform, and security engineering teams.

Design, build, and lead scalable backend and full-stack solutions for AI agent systems in marketing and demand generation. Write code, prototype patterns, resolve performance bottlenecks, define architecture, ship features end-to-end, and monitor production outcomes. Collaborate with product, design, and engineering leaders while mentoring engineers and advancing agentic development practices, software quality, and technical standards.

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.

Leads and develops a cross-functional engineering team building full-stack applications, data pipelines, APIs, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps, drives innovation and quality, mentors engineers, and coordinates large technical efforts across teams. Contributes directly to implementation while scaling platform solutions and maintaining stakeholder alignment.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, APIs, and scalable platform solutions. Partners on roadmaps, feature scope, and releases; drives technical innovation, quality, agile practices, and process improvements. The role combines engineering management with hands-on individual contribution and collaboration across teams and business units.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, architectures, data pipelines, and scalable platform solutions. Partners on roadmaps, feature scoping, releases, and technical innovation. Contributes directly to implementation, promotes engineering quality and agile practices, manages accountability, and collaborates across teams to solve complex customer problems.

Leads and develops a cross-functional software engineering team building full-stack applications, data pipelines, APIs, and analytics products. Provides technical and product direction, designs complex features, partners on roadmaps and releases, mentors engineers, drives innovation and quality, and contributes to implementation. The role requires scaling platform solutions, collaborating across teams, managing accountability, and solving complex customer-focused technical problems in an agile environment.

Leads and coaches a cross-functional engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, APIs, and scalable platform solutions. Partners on roadmaps, feature scope, releases, and technical innovation; contributes directly to implementation, improves engineering processes, and collaborates across teams to solve complex problems. Requires extensive full-stack experience and expertise in Java, Spring Boot, React, Redux, TypeScript, SQL, and related technologies.

Leads and mentors a cross-functional engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, architectures, and scalable platform solutions. Partners with product teams on roadmaps, feature scoping, and releases; drives technical innovation, quality, agile practices, and process improvements. Collaborates across teams, contributes directly to implementation, manages stakeholder communication, and supports high-performing engineering practices.

Leads and mentors a cross-functional engineering team building full-stack applications, APIs, data pipelines, and analytics products. Sets technical and product direction, designs complex features, partners on roadmaps and releases, drives engineering quality and innovation, collaborates across teams, and contributes directly to implementation while scaling platform solutions.

Leads and coaches a cross-functional software engineering team while providing technical and product direction. Designs and develops complex full-stack applications, data pipelines, architectures, and scalable platform solutions. Partners with product teams on roadmaps and releases, drives technical innovation and quality, collaborates across business units, and contributes directly to implementation. Requires strong full-stack engineering expertise, team leadership, and experience with Java, Spring Boot, React, TypeScript, SQL, and related technologies.