Top Software Engineer Jobs in Dublin

Design, build, and maintain full-stack web applications and data pipelines for analytics products. Implement complex features, APIs, and scalable data models; ensure code quality and testing; mentor junior engineers; collaborate with product and UX teams to deliver cloud-native, API-driven solutions.

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

Build and maintain full-stack web applications and scalable data pipelines. Design responsive UIs and backend data models, write and review performant testable code, mentor junior engineers, collaborate with product and design teams, and drive process and technical improvements to deliver analytics and API-driven solutions.

Design, build, and maintain full-stack web applications and scalable data pipelines. Implement intuitive UIs, backend data models, RESTful APIs, and distributed systems. Write and review well-tested code, mentor junior engineers, improve team processes, and collaborate with product and design to deliver analytics-driven products.

Lead technical delivery and system design for backend services in a mixed monolith/microservices landscape. Own features end-to-end, drive reliability, observability, and modernization, mentor teams, resolve incidents, and set engineering standards across integrations, APIs, and platform resilience.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices on cloud platforms (AWS, Cloudera, Databricks). Use frameworks like LangChain and MCP, ensure security/compliance, monitor model performance, and mentor junior engineers while collaborating across product, engineering, and data teams.

Lead technical delivery and architecture for backend services in a mixed monolith/microservices landscape. Drive system design, scalability, resilience, CI/CD, observability, incident response, and cross-team engineering standards while contributing hands-on to implementation and production support.

Design and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build APIs and microservices, integrate with cloud and data platforms (AWS, Cloudera, Databricks), apply prompt engineering and orchestration frameworks, monitor model performance, ensure security/compliance, and mentor engineers.

Lead technical delivery and architecture for backend services in a mixed monolith/microservices environment. Guide design, implementation, testing, and production support, improve reliability and observability, drive modernization, and set engineering standards across teams.

Senior Software Engineer responsible for building scalable backend systems, designing and implementing test automation across API and UI layers, enhancing CI/CD pipelines, driving shift-left testing, ensuring performance, security, and reliability, participating in architecture discussions, troubleshooting distributed systems, and improving engineering quality and processes.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Build and maintain knowledge bases, architect scalable cloud solutions (AWS, Cloudera, Databricks), develop APIs/microservices, ensure security/compliance, monitor model performance, mentor engineers, and collaborate cross-functionally to translate business needs into production AI systems.

Design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, scalable cloud-native services (AWS/Cloudera/Databricks), APIs/microservices, and production-grade model integrations. Monitor model performance, ensure security and compliance, mentor engineers, and collaborate cross-functionally to translate business needs into AI-enabled products.

Design, build, and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain, and vector search. Architect secure, scalable cloud/data systems (AWS, Cloudera, Databricks), develop APIs and microservices, optimize model performance in production, and mentor engineers while ensuring governance, security, and compliance.

Design, build, and maintain full-stack web applications and scalable data pipelines for analytics products. Implement responsive UIs, backend data models, and performant APIs. Ensure high-quality, well-tested code, mentor junior engineers, improve development processes, and collaborate with product, design, and cross-regional teams to deliver customer-centric analytics solutions.

Lead a cross-functional engineering team to design, build, and deliver full-stack web applications and data pipelines. Provide technical direction, mentor engineers, drive product roadmaps, implement scalable solutions, and collaborate across teams to solve complex problems while contributing as a hands-on developer.

Design, develop, and deploy enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), APIs, and microservices; implement LangChain and MCP patterns; monitor and optimize production model performance; ensure data governance and compliance; mentor engineers and drive engineering best practices.

Lead technical delivery and design of backend services for a mixed monolith and microservices platform. Provide hands-on engineering, system design, reliability improvements, incident escalation, and cross-team collaboration. Drive modernization, observability, resilient patterns, and operational readiness while mentoring teams and ensuring secure SDLC practices.

Lead a cross-functional engineering team to design, build, and operate full-stack web applications and data pipelines. Provide technical direction, mentor engineers, collaborate with product, drive architecture and process improvements, contribute as a hands-on implementer, and scale platform solutions for global customers.

Design, build, and deploy enterprise AI solutions using LLMs, RAG, and vector search. Architect scalable, secure cloud-based systems (AWS, Databricks, Cloudera), develop APIs and microservices, optimize model performance, and ensure data governance and compliance. Mentor engineers and collaborate cross-functionally to deliver production-ready AI applications.

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

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native services and APIs, optimize model performance in production, mentor engineers, and enforce data governance and compliance.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and scalable cloud-native systems (AWS, Cloudera, Databricks). Mentor engineers, ensure security/compliance, optimize model performance, and collaborate cross-functionally to productionize AI applications.

Lead engineering and deliver production-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable cloud solutions (AWS, Cloudera, Databricks), build APIs and microservices, implement MCP-style orchestration, monitor model performance, ensure security and compliance, and mentor engineering teams.

Senior Software Engineer responsible for building scalable backend systems in Java/Spring Boot, designing and implementing API and UI test automation, embedding quality/security into the SDLC, enhancing CI/CD, driving performance and reliability efforts, collaborating on architecture, and troubleshooting distributed systems.

Lead design and deliver enterprise AI solutions using LLMs, RAG, and vector search. Build knowledge bases, LLM-driven apps (LangChain), secure cloud/databricks integrations, APIs/microservices, monitor model performance, and mentor engineers while ensuring compliance and operational excellence.