Top Software Engineer Jobs in Dublin

Design and build agentic and generative-AI applications, tooling, and reusable platform services. Evaluate models and frameworks, implement developer-facing workflows, improve developer experience, and partner across product and engineering to prototype and scale AI-enabled solutions.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy scalable Java-based microservices for a global B2B payments platform. Collaborate in Agile teams, apply 12-factor principles, ensure security/compliance, optimize performance, perform code reviews, and support CI/CD, containerization, and cloud deployments.

Lead design and deliver production-ready agentic AI applications and platform capabilities. Define engineering patterns, drive end-to-end SDLC, mentor engineers, ensure security, observability, reliability, cost controls, and collaborate with Product, Applied AI, Data Science, and stakeholders to move AI solutions from prototype to governed production.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, develop, and deploy high-quality Java-based microservices for a global B2B payments platform. Apply 12-factor and cloud principles, collaborate across product and engineering teams, perform code reviews, support CI/CD and containerized deployments, ensure security and compliance, optimize performance, and mentor engineers throughout the development lifecycle.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability, and cost control. Drive SDLC, mentor engineers, collaborate with product and AI teams, and translate concepts into governed, scalable production deployments.

Build and ship Agentic AI tooling, services, and reusable patterns for production. Design AI-enabled applications, evaluate models and frameworks, improve developer experience, and collaborate with product and business stakeholders to prototype and scale AI solutions.

Design and build Agentic AI tooling, services, and reusable patterns to enable AI-enabled applications and developer workflows. Implement AI-enabled apps, evaluate models and frameworks, improve developer experience via automation, and collaborate with product and engineering stakeholders to prototype, validate, and scale solutions across Mastercard.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead design and delivery of secure, scalable agentic AI applications and cloud-native services. Drive architecture, implementation, observability, CI/CD, and governance; mentor engineers and collaborate with product, AI, security, and platform teams to move AI solutions from prototype to production.

Lead hands-on design and delivery of production-ready, secure, scalable agentic AI applications. Define engineering patterns, drive SDLC from prototype to production, improve AI-enabled developer workflows, mentor engineers, and collaborate with product, data science, security, and platform teams to deliver measurable business value.

Build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, create developer-facing capabilities, improve automation and CI/CD, and partner with stakeholders to prototype, validate, and scale AI solutions.

Lead design and deliver production-grade agentic AI applications and cloud-native services. Define engineering patterns, ensure security, observability, and reliability, drive SDLC improvements, mentor engineers, collaborate with AI, product, and platform teams, and move prototypes to governed production.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Collaborate across Agile teams, perform code reviews, ensure security and architecture compliance, optimize performance, and support CI/CD, containerization, and automated testing practices.

Build tooling, services, and reusable patterns to apply generative and agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience via automation, and partner across teams to prototype and scale solutions.

Lead architecture, technical strategy, and implementation of AI agents for the Team (FinTech) area. Drive agent product delivery from design to production, collaborate with engineering and product leaders, mentor technical leaders, and be hands-on in development while spreading agentic development practices across the company.

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.

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 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, 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.

Architect, build, and operate a secure, scalable foundation-model API platform. Define API standards, implement security and governance, ensure reliability and observability, partner with AI/ML teams to productionize models, drive cost control, lead design reviews, and mentor senior engineers.

Lead modernization of fraud rules/engines and large-scale migrations. Provide technical leadership across cross-functional teams, design compliant scalable low-latency microservice platforms, mentor engineers, and apply Gen AI/LLM familiarity to fraud solutions.

Lead architecture and technical strategy for a global virtual card platform. Design scalable, secure, highly available services; apply Domain Driven Design; mentor teams; drive PoC-to-production delivery; ensure cloud-native deployments, container orchestration, PKI/crypto standards, and engineering best practices.

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.