Top React Jobs in Dublin

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 the planning, architecture, development, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and business teams, and provide technical leadership for customer integrations and platform adoption.

Leads the planning, architecture, development, and delivery of scalable, secure software solutions for Mastercard’s Emerging Data Signals product. Drives AI and emerging-technology initiatives from research through production, champions automation across the software lifecycle, collaborates with global engineering and business teams, and provides technical leadership for customer integrations and platform adoption.

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.

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.

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.

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.

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.

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.

Leads the planning, architecture, development, and delivery of scalable software solutions for global customers. Drives AI and emerging-technology initiatives from concept through production, champions automation across the software lifecycle, and supports secure, resilient platform operations. Collaborates with engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for integrations and solution adoption.

Leads the planning, architecture, development, and delivery of scalable software solutions for global customers. Drives AI and emerging technology initiatives from concept through production, champions automation across the software lifecycle, and supports secure, resilient platform operations. Collaborates with engineering, data, product, operations, and customer teams while serving as a technical subject matter expert for Emerging Data Signals.

Lead the planning, architecture, and delivery of scalable software solutions for Mastercard’s Emerging Data Signals product. Drive AI and emerging-technology initiatives from concept through production, champion automation across the software lifecycle, collaborate with global engineering and product teams, and provide technical leadership for customer integrations. Ensure solutions are secure, resilient, maintainable, and aligned with enterprise standards.

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.

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 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.

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.

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.

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.