Top Tech Jobs & Startup Jobs in Dublin

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Drive API and distributed-systems best practices, security, observability, CI/CD, and reliable production deployments. Partner with AI teams, manage delivery across workstreams, and hire, coach, and scale high-performing engineering talent.

Lead and coach software teams building Fraud Platform capabilities. Own solution delivery in an Agile environment, act as Scrum Master for one team, partner with product owners, prioritize work, ensure staffing and training, drive operational excellence, and support production systems for distributed high-volume applications.

Lead security engineer advising product and operational teams on secure design, driving security reviews and standards, documenting enhancements, presenting solutions, and leading security for complex global initiatives to meet security and regulatory requirements.

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 a team to develop, fine-tune and deploy foundation models and generative AI solutions. Drive end-to-end delivery from problem definition through production integration, partner with product and data teams, ensure responsible AI practices, and provide technical coaching to deliver scalable, measurable business outcomes.

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 engineering team building and operating API platforms and backend services that expose foundation model capabilities. Drive architecture, security-by-design, scalability, reliability, CI/CD, observability, and AI model integration. Manage multiple workstreams, hire and coach engineers, and translate product requirements into technical roadmaps.