Top React Jobs in Dublin

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.

Lead development of scalable scheduling software for Toast’s restaurant workforce management product. Responsibilities include full-stack feature development, solution design, estimation, testing, debugging, technical reviews, mentoring developers, and collaboration with product managers, designers, customer success, and engineering stakeholders. The role also champions software quality and development practices, contributes to product decisions, and uses AI tools to improve engineering productivity. This is a hybrid position requiring two days per week in the Dublin office.

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 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 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.

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.

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.

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 deliver prototypes to production in collaboration with product and engineering stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

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 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.

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, develop, and maintain secure, scalable production services. Produce architecture artifacts, implement REST APIs, operate services on AWS with containers and CI/CD, use AI-assisted dev tools responsibly, analyze data for system improvements, and ensure application resiliency and security.

Build and scale an OLAP analytics platform powering real-time reporting and search. Ingest events, index into OpenSearch, expose data via federated GraphQL, ensure low-latency freshness and cost efficiency, collaborate with consumer teams, design platform APIs, and apply search and AI tooling to enable AI-driven features across Toast.

Lead a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Lead a product-aligned engineering organization to build and operate a cloud-native Talent Performance platform. Own technology direction, architecture modernization, integrations, delivery, reliability, security, and governance. Manage multiple cross-functional teams, vendor relationships, and stakeholder alignment. Drive adoption of AI-assisted engineering with appropriate controls while ensuring production readiness, observability, cost governance, and measurable engineering KPIs.

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

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.

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 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 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 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.