Top Tech Jobs & Startup Jobs in Dublin

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, LLMs, and AI-assisted workflows to improve engineering productivity. Build reusable services, ensure security, reliability, and observability, and drive CI/CD, automation, and developer experience across cloud-native environments.

Lead architecture and engineering for a cloud-native, high-volume dispute platform. Design scalable distributed systems and microservices, drive engineering excellence across development, testing, security, and reliability, apply AI/automation to engineering workflows, partner across teams, and mentor engineers to deliver global-scale solutions.

Lead design, build, and operate scalable data pipelines and products for foundation model training, inference, and evaluation. Own ingestion, transformation, batch/stream processing, feature engineering, data quality, lineage, governance, and performance tuning. Collaborate with AI, platform, and product teams to ensure production readiness, security, and observability. Provide technical leadership, code/design reviews, mentoring, and delivery planning across the program.

Lead architecture and engineering for a cloud-native, high-volume dispute platform. Drive design of scalable distributed systems, enforce PDLC, apply AI/automation, mentor engineers, and collaborate across teams to deliver secure, reliable solutions at global scale.

Design and build production-grade AI and agentic applications and developer platforms. Apply agent orchestration, AI-assisted workflows, and automation to improve engineering productivity and delivery. Ensure systems are secure, observable, scalable, and production-ready while collaborating across product, data science, and engineering teams.

Develop and maintain Mastercard's Java-based decision management platform to combat fraud. Design, implement, and support high-performance multi-tier services, author technical artifacts, run PoCs, ensure test coverage and security/compliance, mentor team members, and improve processes for faster, reliable delivery and production support.

Lead design, build, and operate scalable data pipelines and data products to support foundation model training, inference, and evaluation. Partner with AI and platform teams to enable feature engineering, ensure data quality, governance, lineage, and secure access. Drive best practices for modeling, partitioning, performance, monitoring, and CI/CD. Provide technical leadership, code/design reviews, mentoring, and program-level planning to ensure production-ready, reliable data for AI workloads.

Lead architecture and design of scalable, cloud-native platforms for high-volume dispute management. Provide technical authority, drive engineering excellence across development, testing, security and reliability, apply AI/automation to improve engineering workflows, mentor engineers, and partner across teams to deliver outcomes at global scale.

Design and build production-grade, AI-enabled and agentic applications and platform capabilities. Apply agent orchestration, prompt/context management, and AI tooling to improve developer productivity. Build cloud-native services with reliability, observability, security, and CI/CD. Partner with product, data science, and engineering to move prototypes to production and drive platform-level engineering improvements.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.