Top React Jobs in Dublin

Build and maintain scalable software that helps restaurants improve guest experiences. Ship features end-to-end, collaborate with Product, Design, and Engineering, monitor outcomes, and iterate based on usage. The role involves Java and Kotlin backend development, frontend integration, AI-assisted development, agile delivery, testing, clean code, and cross-functional communication. This hybrid position requires working in the Dublin office two days per week.

Design, build, and maintain scalable backend and full-stack solutions for restaurant marketing and guest engagement. Ship features end-to-end, collaborate with Product and Design, use AI-assisted development tools, monitor product outcomes, and mentor engineers. The role requires strong software fundamentals, comfort with ambiguity, cross-stack collaboration, and a product-focused approach to delivering impactful customer experiences.

Build and maintain scalable software for restaurant guest experiences, shipping features end-to-end from design through rollout and monitoring. Collaborate with Product, Design, and Engineering teams while using AI-assisted development tools and LLM-based agents to improve productivity. The role focuses on Java and Kotlin backend services, frontend integration, product quality, testing, iterative delivery, and developing toward broader ownership in a hybrid Dublin office environment.

Build and scale Toast’s OLAP platform for real-time analytics, search, and AI-driven data access. Develop backend services, data integrations, platform APIs, and federated GraphQL capabilities using Java and Kotlin, OpenSearch, Pulsar, and related technologies. Ensure correctness, freshness, query performance, reliability, and cost efficiency across large datasets and multiple tenants. Collaborate with engineering teams to understand platform needs and deliver clean, maintainable solutions.

Designs and develops scalable, cloud-native, data-intensive experimentation and analytics applications. Leads team-level architecture, API and data-flow design, performance optimization, testing, security, observability, CI/CD, and production readiness. Builds services using Java, Databricks, Spark, cloud platforms, and modern data technologies; troubleshoots complex application and cloud issues; collaborates cross-functionally; and mentors junior and mid-level engineers.

Lead architecture, design, development, testing, and optimization of scalable, cloud-native experimentation platforms. Build distributed services, APIs, data pipelines, and analytics capabilities using Java, Databricks, Spark, and modern cloud technologies. Drive performance, reliability, security, observability, CI/CD, and production readiness while mentoring engineers and collaborating across teams to translate business needs into durable technical solutions.

Lead team-level system design and develop scalable, cloud-native software for a data-intensive experimentation platform. Build distributed services, APIs, analytics capabilities, and data pipelines using Java, Databricks, Spark, and cloud technologies. Drive performance, reliability, security, testing, observability, CI/CD, and production support. Collaborate cross-functionally, translate business needs into technical solutions, troubleshoot complex issues, and mentor junior and mid-level engineers.

Design and develop scalable, cloud-native experimentation platforms and analytics-driven applications. Lead team-level architecture and API design, build data-intensive services using Java, Databricks, and Spark, and optimize performance, reliability, security, and operability. Contribute hands-on across the software development lifecycle, troubleshoot complex production issues, improve CI/CD and testing practices, and mentor engineers. Collaborate with architects and cross-functional teams to translate business requirements into maintainable technical solutions.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level architecture and API design, build services using Java, Databricks, Spark, and modern cloud technologies, and troubleshoot performance and reliability issues. Collaborate across teams to translate business needs into secure technical solutions, improve engineering practices through testing, CI/CD, observability, and code reviews, and mentor junior and mid-level engineers across the full software development lifecycle.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level architecture and system design, build distributed services, APIs, and data pipelines, and optimize performance, reliability, security, and operability. Collaborate across functions to translate business needs into technical solutions, mentor engineers, troubleshoot complex production issues, and improve engineering practices through testing, reviews, observability, CI/CD, and secure coding.

Lead architecture, design, development, testing, and production delivery for scalable experimentation and analytics software. Build distributed systems, microservices, APIs, data-intensive applications, and cloud-native services using Java, Databricks, Spark, and modern data technologies. Optimize performance, reliability, security, and observability; troubleshoot complex application and cloud issues; collaborate across teams; and mentor junior and mid-level engineers while guiding technical design and implementation.

Designs, develops, tests, and supports scalable, cloud-native experimentation platforms and analytics-driven applications. Responsibilities include leading team-level system design, building distributed services and APIs, optimizing Databricks and Spark workloads, troubleshooting performance and reliability issues, and translating business needs into secure technical solutions. The engineer collaborates across teams, contributes throughout the software lifecycle, improves CI/CD and observability practices, and mentors junior and mid-level engineers.

Design and develop scalable, cloud-native experimentation platforms and data-intensive analytics applications. Lead team-level system design, APIs, data flows, and nonfunctional requirements while coding, testing, debugging, and optimizing production software. Build distributed systems, microservices, and data pipelines using Java, Databricks, Spark, and cloud technologies. Troubleshoot complex issues, improve reliability and observability, collaborate cross-functionally, and mentor engineers.

Lead system design and develop scalable, cloud-native software for a data-intensive business experimentation platform. Build distributed services, APIs, analytics capabilities, and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Improve performance, reliability, security, observability, testing, and CI/CD practices. Troubleshoot complex production issues, collaborate across teams, and mentor engineers throughout the software development lifecycle.

Designs and develops scalable, cloud-native experimentation platforms and data-intensive analytics applications. Leads team-level system design, API and data-flow architecture, performance optimization, secure coding, testing, observability, CI/CD, and production readiness. Builds services and data pipelines using Java, Databricks, Spark, and modern cloud technologies. Collaborates with cross-functional teams, troubleshoots complex application and cloud issues, and mentors junior and mid-level engineers across the full software development lifecycle.

Build and operate cloud-native infrastructure security services used across the engineering organization. Responsibilities include designing distributed systems, improving scalability, reliability, performance, observability, and security, developing automation and tooling, participating in code and design reviews, supporting incident response and on-call operations, and collaborating with platform and product engineers. The role requires production experience with cloud-native systems, Python or Go, AWS, containers, Kubernetes, and secure multi-tenant architectures.

Lead and manage an engineering team on the Atlas Growth team to design, build, test, and ship new Atlas features. Define roadmaps with stakeholders, contribute to technical architecture, mentor engineers, and collaborate with product, design, and analytics to improve onboarding, monetization, and cluster management for B2B customers.

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 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.

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.

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.