Top React Jobs in Dublin

Leads the design, development, and delivery of scalable, secure software solutions using Java, AI technologies, and modern engineering practices. Drives innovation from research through production, champions automation across the software lifecycle, and collaborates with global engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations while improving platform performance, reliability, security, and user experience.

Leads the design, development, and delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from research through production, designs secure and resilient architectures, automates software delivery and operations, and collaborates with global engineering, data, product, operations, and customer teams. Serves as a technical subject matter expert, supports integrations, and improves platform performance, reliability, and customer experience.

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.

Leads the planning, architecture, development, and delivery of scalable software solutions using Java and emerging AI technologies. Drives innovation from concept through production, champions automation across the software lifecycle, supports secure integrations, and improves platform performance and reliability. Collaborates with global engineering, data, product, operations, and customer teams while providing technical leadership for Emerging Data Signals solutions.

Leads the planning, architecture, development, and delivery of scalable, secure software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology innovation from research through production, champions delivery automation, supports customer integrations, and provides technical leadership. Collaborates with globally distributed engineering, data, product, operations, and customer teams while improving platform performance, reliability, security, and customer experience.

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.

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.

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.

Leads the planning, architecture, design, and delivery of scalable, secure software solutions for global customers. Drives AI and emerging technology initiatives from research through production, champions automation across the software lifecycle, and collaborates with engineering, data, product, operations, and customer teams. Provides technical leadership for customer integrations, improves platform performance and reliability, and ensures solutions align with enterprise standards and business objectives.

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.

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.

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.