Top React Jobs in Dublin

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 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.

The software engineer will work on full software development lifecycle, focusing on building dealer products and integrating with existing services. Responsibilities include designing, coding, testing, and maintaining applications using Java, Spring Boot, React, and TypeScript.

Seeking a Software Engineer to enhance MongoDB Atlas by developing observability tools, contributing to coding best practices, and collaborating with team members. Responsibilities include fixing production issues and engaging in technical discussions.

Build and maintain scalable full-stack, data-intensive applications and APIs. Develop and optimize data pipelines using Databricks/Spark, contribute to architecture and code reviews, resolve performance bottlenecks, collaborate with cross-functional teams, mentor colleagues, and uphold engineering best practices for reliability and scalability.

Develop and maintain scalable full-stack, data-intensive analytics and experimentation platform components. Work across frontend, backend, APIs, and data-processing layers using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, code reviews, performance tuning, cross-functional collaboration, mentoring, and operational excellence.

Lead a full-stack engineering team to design, build, and release large-scale analytics applications and microservice-based platforms. Drive architecture, mentor engineers, define product features, ensure CI/CD and code quality, and collaborate with product and global teams to deliver data-driven solutions.

Lead a small full-stack engineering team to design, build and deliver high-performance analytics applications on massive datasets. Define architectures, scope features, mentor engineers, drive CI/CD and collaborate with product and global teams to deliver business-impacting data-driven products.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs. Implement and optimize data pipelines using Databricks/Spark, contribute to architecture and system design, perform code reviews and testing, resolve performance bottlenecks, and collaborate with cross-functional teams to deliver analytics-driven experimentation features for global customers.

Lead a small engineering team to design, build and deliver high-performance analytics applications over massive datasets. Define service-oriented architectures, scope and plan features, mentor engineers, ensure code quality, adopt modern technologies (microservices, CI/CD, Databricks), and collaborate with product and global teams to deliver production services and visualizations that drive business impact.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs using Java/Spring Boot, TypeScript, React, and Databricks/Spark. Contribute to architecture, code reviews, performance optimization, cross-team collaboration, and operational excellence while mentoring teammates and following engineering best practices.

Lead a full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Define service-oriented architectures, scope and deliver large-scale features, mentor engineers, drive CI/CD and engineering practices, and collaborate with product and global teams to deliver production-ready microservices and data-driven products.

Build and maintain scalable full-stack, data-intensive applications and APIs. Develop and optimize data pipelines using Databricks/Spark, participate in system design and code reviews, resolve performance bottlenecks, collaborate with cross-functional teams, mentor peers, and support operational excellence across the full development lifecycle.

Lead a small full-stack engineering team to design and deliver high-performance analytics applications on massive datasets. Own architecture, development, CI/CD, mentoring, planning, and cross-region collaboration to build scalable microservices and front-end visualizations that drive business decisions.

Build and maintain scalable full-stack, data-intensive applications and APIs. Contribute to architecture, design, testing, and performance optimization using cloud platforms and Databricks/Spark. Collaborate cross-functionally, mentor peers, participate in code reviews, and drive engineering best practices to deliver reliable, analytics-driven experimentation solutions.

Lead a full-stack engineering team building high-performance analytics applications on massive datasets. Define architecture, plan features, mentor engineers, drive CI/CD and microservices design, collaborate with product and global teams, and deliver scalable solutions and front-end visualizations that impact business outcomes.

Build and maintain scalable full‑stack, data‑intensive analytics and experimentation platforms. Design services, APIs, frontends and data pipelines using Java/Spring Boot, TypeScript/React, Databricks/Spark, and cloud platforms. Participate in architecture, code reviews, performance tuning, cross-team collaboration, mentoring, and operational excellence to deliver reliable, high‑quality software.

Build and maintain scalable, data-intensive full-stack applications and APIs. Implement and optimize data pipelines using Databricks/Spark, contribute to architecture and design, perform code reviews and testing, resolve performance issues, and collaborate with cross-functional teams to deliver analytics-driven experimentation features.

Lead a small full-stack engineering team to design, build, and deliver high-performance analytics applications on massive datasets. Define service-oriented architectures, scope and plan features, mentor engineers, ensure code quality, drive CI/CD and agile practices, and collaborate with product and global teams to deliver impactful solutions.

Design, build, and maintain scalable full-stack, data-intensive applications and services. Implement APIs, optimize data-processing with Databricks/Spark, participate in design/code reviews, mentor teammates, and collaborate across teams to deliver enterprise-grade experimentation and analytics features.

Build and maintain scalable, data-intensive full-stack applications and data pipelines. Design and implement services, APIs, and analytics using Java/Spring Boot, TypeScript/React, and Databricks/Spark. Collaborate across teams, participate in design/code reviews, optimize performance, mentor teammates, and ensure operational excellence for a cloud-native experimentation platform.

Lead and mentor a small full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Own design and delivery of service-oriented architectures and microservices, plan and scope features, ensure code quality and CI/CD practices, collaborate with product and global teams, and drive technical innovation and engineering processes.

Design, build, and maintain scalable full-stack, data-intensive applications and APIs. Develop and optimize data pipelines using Databricks/Spark, participate in architecture and code reviews, resolve performance bottlenecks, collaborate with cross-functional teams, mentor peers, and drive engineering best practices and operational excellence.