Top Software Engineer Jobs in Dublin

Develop and maintain production-grade backend systems with a development-first mindset. Design and implement scalable test automation (API and UI), enhance CI/CD pipelines, drive shift-left testing, participate in architecture discussions, and ensure performance, security, and reliability across distributed systems. Troubleshoot complex issues and promote engineering best practices.

Lead the architecture, design, and development of a cloud-native experimentation and analytics platform. Build scalable microservices, APIs, and data pipelines (Databricks/Spark), drive technical vision and modernization, ensure performance/security/reliability, mentor engineers, coordinate across global teams, and champion observability and continuous delivery practices.

Lead design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven applications (LangChain), and scalable cloud architectures (AWS, Cloudera, Databricks). Implement secure microservices/APIs, monitor model performance in production, mentor engineers, and ensure compliance with data governance and security standards.

Design, build, and test scalable backend systems with a development-first mindset. Implement and maintain API and UI automation frameworks, enhance CI/CD pipelines, drive shift-left testing, support performance, security, and reliability engineering, and collaborate on architecture and observability to ensure production-grade quality and high system availability.

Lead architecture and technical strategy for a global virtual card platform. Design and deliver scalable, secure, highly-available services, mentor teams, collaborate with product and enterprise functions, and drive engineering excellence and continuous improvement.

Lead design and development of a cloud-native experimentation platform: define architecture and non-functional requirements, build scalable microservices and APIs, implement big-data pipelines with Databricks/Spark, modernize systems to cloud (AWS/Azure), mentor engineers, drive cross-team alignment, and champion engineering best practices for performance, security, and continuous delivery.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services, collaborate with product and regional teams, mentor engineers, drive PoCs and platform delivery, and ensure operability and corporate security compliance.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; architect scalable cloud/data platforms (AWS, Cloudera, Databricks); implement LLM orchestration (LangChain, MCP); monitor and optimize production model performance; ensure data governance, security, and compliance; mentor engineers and contribute to technical design.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), build APIs and microservices, implement LangChain-based apps, optimize production model performance, and mentor engineers while ensuring data governance and regulatory compliance.

Lead architecture, design, and development of a cloud-native experimentation platform. Drive technical vision, build scalable microservices and APIs, optimize big-data pipelines (Databricks/Spark), ensure performance, security, and reliability, mentor engineers, and coordinate cross-functional global teams to deliver enterprise-grade analytics products.

Lead architecture and technical strategy for a global virtual card platform: design scalable, secure systems, mentor teams, drive engineering excellence, implement Domain Driven Design, ensure operability and high availability, and collaborate with product and enterprise stakeholders.

Design and deliver enterprise AI solutions using LLMs and RAG; build and maintain vector-search knowledge bases; develop LangChain-driven applications; architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks); implement APIs and microservices; monitor model performance; mentor engineers and ensure data governance and security compliance.

Design, build, and maintain scalable backend systems with a development-first approach. Create and run unit, integration, API, and UI automation; enhance CI/CD pipelines; drive shift-left testing, performance, security, and operability; troubleshoot distributed systems and promote engineering best practices.

Lead development and quality engineering efforts: design, build, and maintain backend systems and automation frameworks (API/UI). Embed shift-left testing, enhance CI/CD pipelines, drive performance, security, reliability, observability, and mentor teams to improve engineering practices and system availability.

Lead architecture, design, and build of a cloud-native experimentation platform. Develop scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, modernize systems, ensure performance, security, observability and CI/CD, collaborate across global teams, and mentor engineers.

Design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, integrate models via MCP/LangChain, develop APIs and microservices, and architect scalable, secure cloud systems on AWS/Cloudera/Databricks. Collaborate cross-functionally, monitor model performance in production, ensure compliance and data governance, and mentor junior engineers.

Senior Software Engineer responsible for hands-on Java backend development and quality engineering. Design and implement test automation across API and UI, enhance CI/CD, ensure performance, security, reliability, contribute to architecture, and troubleshoot distributed systems while driving shift-left testing and engineering best practices.

Lead architecture, design, and hands-on development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, mentor engineers, ensure performance, security, observability, and coordinate cross-functional global teams to deliver enterprise-grade analytics solutions.

Senior Software Engineer responsible for development and quality engineering: build scalable backend systems, design and implement API/UI test automation, enhance CI/CD pipelines, drive shift-left testing, support performance and security engineering, contribute to architecture and observability, troubleshoot distributed systems, and promote engineering best practices.

Lead architecture and implementation of AI agents and infrastructure for the Team domain. Define scalable, secure designs, partner with engineering and product, write code and prototypes, resolve performance bottlenecks, establish agent/ spec-driven patterns, and mentor engineers to deliver mission-critical SaaS systems.

Build and lead AI platform infrastructure including LLM proxy, key management, observability, MCP services, autonomous agents and plugin marketplace. Architect, deliver, and evangelize agentic tooling, mentor engineers, and partner with product teams to expand AI foundations across the company.

Lead and deliver secure, scalable cloud-native software across Python/Node.js/React stack. Design, develop, test, and operate production services, mentor engineers, drive architecture and CI/CD/IaC standards, and champion responsible AI-assisted engineering practices and operational stability.

Build and maintain the reporting and analytics layer for restaurant customers: backend services in Kotlin/Java, design GraphQL/REST APIs and platform frameworks, integrate AI-native features, work with data pipelines/OpenSearch, and collaborate cross-team to deliver useful, production-quality reporting experiences.

Build software, services, and frameworks to manage large GPU supercomputing network fabrics: metrics collection, configuration, zero-touch provisioning, monitoring, IaC-based deployments, and automated remediation to ensure scalable, reliable network operations.

The Software Developer at Clio joins the Engineering team to build scalable web applications, tackle complex problems, and mentor peers in an agile environment.