Top Software Engineer Jobs in Dublin

Design, build and maintain full-stack web applications and data pipelines. Implement responsive UIs, backend data models and REST APIs, ensure scalable analytics, write and review tests, mentor junior engineers, improve team processes, and collaborate with product and cross-regional teams.

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 technical delivery and system design for backend services in a mixed monolith/microservices environment. Guide features end-to-end, improve resilience, reliability, observability, and CI/CD, resolve complex incidents, set engineering standards, and collaborate cross-team to modernize platforms supporting virtual card and payment capabilities.

Lead architecture and technical strategy for a global virtual card platform. Design and build scalable, secure, highly available services; collaborate with product and regional teams; mentor engineers; implement Domain Driven Design; ensure security, operability, and delivery of complex software solutions across cloud, containers, and high-throughput systems.

Lead a cross-functional engineering team to design and build full-stack web applications and data pipelines. Provide technical and product direction, scope and plan releases, champion quality and innovation, collaborate across teams, and contribute hands-on to implementations. Scale platform solutions and coach team members while working in an agile environment to deliver data-driven products and APIs.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available systems; apply Domain Driven Design; mentor engineering teams; collaborate with product and enterprise functions; drive PoCs and delivery; ensure operability, security, and continuous improvement.

Lead a cross-functional engineering team to design, build, and scale full-stack web applications and data pipelines. Provide technical direction, mentor engineers, drive product roadmap execution, collaborate across teams, and contribute as a hands-on developer to deliver high-quality, API-driven analytics products.

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

Design, build, and maintain full-stack web applications and data pipelines. Implement responsive UIs, scalable analytics/data models, RESTful APIs, and high-quality tested code. Mentor juniors, collaborate across product and design, and drive process improvements.

Design and deliver enterprise-grade AI solutions using LLMs, RAG, and vector search. Build knowledge bases, APIs, and microservices; deploy scalable, secure systems on cloud platforms (AWS, Cloudera, Databricks). Collaborate cross-functionally, monitor model performance, ensure data governance and compliance, and mentor junior engineers.

Design, build, and maintain full-stack web applications and data pipelines for analytics products. Implement responsive UIs, scalable data models, RESTful APIs, and high-quality tested code. Mentor junior engineers, collaborate with product and design, and drive process improvements.

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 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.

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 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.

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 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.

Design, build, and maintain full-stack web applications and scalable data pipelines. Implement responsive UIs, analytics and data models, RESTful APIs, and high-quality tested code. Mentor junior engineers, improve development processes, and collaborate with product and design teams to deliver data-driven products for global customers.

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 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.

Lead technical design and delivery of backend services for a distributed microservices and monolithic platform. Guide architecture and modernization, ensure resilience and observability, drive CI/CD and secure SDLC practices, and provide production incident leadership and cross-team engineering standards.

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.