Top Software Engineer Jobs in Dublin

Lead technical delivery and system design for backend services (Java/Spring Boot) across monoliths and microservices. Drive architecture modernization, resilience, observability, and operational readiness; own features end-to-end, mentor teams, resolve incidents, and enforce engineering standards.

Lead a cross-functional engineering team to design, build, and deliver full-stack web applications and data pipelines. Provide technical direction, architect solutions, partner with product, mentor engineers, contribute to implementation, and scale platform solutions while promoting quality, agile practices, and innovation.

Lead modernization of fraud-rule platforms and large-scale migrations. Provide technical leadership across cross-functional teams, design scalable low-latency microservices, mentor engineers, ensure architecture, security, and compliance, and apply GenAI/LLM familiarity to fraud solutions.

Lead design, build, and operate an enterprise API platform that exposes foundation model capabilities. Ensure security, scalability, observability, governance, cost control, and developer experience while partnering with AI/ML, product, and security teams.

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 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.

Lead modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design and implement scalable, low-latency microservice platforms, mentor engineers, ensure architecture/security/compliance, and apply AI/LLM familiarity for fraud solutions while driving engineering excellence and reliable operations.

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 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.

Lead the design and delivery of enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Build scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs and microservices, implement LLM frameworks (e.g., LangChain), optimize models in production, and collaborate across product, engineering, and data teams while ensuring governance, security, and compliance.

Lead backend engineering for distributed microservices and monoliths, driving system design, delivery, reliability, observability, and operational readiness. Provide technical leadership, mentor teams, own features end-to-end, and modernize architecture while ensuring resilience and high availability.

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.

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.

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 modernization of fraud-rule platforms and large-scale migrations. Provide technical leadership across cross-functional teams, design compliant scalable microservice architectures, mentor engineers, scope and estimate projects, and ensure high-throughput, low-latency global platform operations. Apply multi-language development (Go, Python, Java), DevOps practices, and familiarity with GenAI/LLMs for fraud rules.

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.

The Lead Software Engineer will manage a cross-functional engineering team, design and develop complex technical products, and lead strategic direction in an agile environment, focusing on customer-centric solutions and collaboration across teams.

This role involves designing and maintaining backend systems for data privacy compliance, collaborating with other engineers and legal advisors, and automating data processing tasks.

Join Arista's Dublin Kernel team to develop and integrate Linux kernel and BIOS features, evaluate CPUs, work with vendors, perform bringup and qualification, debug and optimize code for performance and scalability, and own projects from definition through deployment.

Lead the architecture and design of Mastercard's virtual card management platform. Drive engineering excellence and collaborate across teams to deliver secure software solutions.

Lead design and deliver enterprise-grade AI solutions using LLMs, RAG, LangChain and vector search. Architect scalable, secure cloud/data systems (AWS, Cloudera, Databricks), build knowledge bases and APIs, optimize models in production, mentor engineers, and ensure data governance, security, and compliance.

Design, build, and operate enterprise-grade AI solutions using LLMs, RAG, and vector-search knowledge bases. Architect scalable, secure cloud-native systems (AWS, Cloudera, Databricks), develop APIs/microservices, monitor model performance, and collaborate across product and data teams while ensuring compliance, security, and operational excellence.

Design, develop, and test scalable backend systems with a development-first mindset. Build and maintain API/UI automation frameworks, enhance CI/CD pipelines, drive shift-left testing, support performance/security/reliability efforts, perform code reviews, troubleshoot distributed systems, and promote quality-first engineering practices across teams.

Develop AI-powered features for transaction automation, management accounts, and cash flow predictions in a fintech startup setting.