Top Tech Jobs & Startup Jobs in Dublin

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 security partner for Data Commercialization and AI programs: advise on secure design, translate policies into actionable guidance, lead security reviews (threat models, code/design reviews), embed controls in SDLC, support vulnerability management, and drive security automation and standards across data and AI platforms.

Lead a team designing, building, and delivering resilient, scalable API-driven microservices. Oversee project delivery, code review, architecture, testing strategies, secure coding, performance engineering, cross-functional coordination, and team development.

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 a team to design, build, and deliver API-driven microservices at scale; ensure code quality, testing, security, performance, and operational resiliency; drive architectural decisions, mentor engineers, and manage delivery and performance reviews.

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.