Top Tech Jobs & Startup Jobs in Dublin

Lead modernization of fraud rule/engine platforms and large-scale migrations. Architect and build scalable, low-latency microservices, ensure security and compliance, mentor teams, collaborate cross-functionally, and apply DevOps and AI (GenAI/LLMs) where relevant.

The role involves developing Java-based solutions, collaborating with a team, researching technical solutions, and transitioning R&D products to market.

Lead Software Engineer responsible for delivering innovative software solutions, leading projects, collaborating with stakeholders, and ensuring compliance with quality and security standards.

Lead end-to-end onboarding for a portfolio of SME partners, manage risks and dependencies, create onboarding playbooks, resolve blockers, mentor specialists, and drive process improvements to accelerate and standardize partner launches.

Lead and grow software development teams building Mastercard Fraud Platform capabilities. Own solution delivery across full lifecycle in Agile, prioritize with product owners, coach staff, ensure operational excellence, and drive continuous improvement.

Lead an AI engineering team to develop, fine-tune, and deploy transformer-based and generative models for high-impact use cases. Translate models into scalable production solutions, partner with product and data teams, embed responsible AI practices, and ensure robust evaluation, performance optimization, and delivery oversight.

Manage end-to-end onboarding for SME partners, coordinate due diligence and risk activities, track progress and dependencies, build onboarding artifacts and dashboards, support remediation and ensure launch readiness across multiple partners.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and integrations with AI teams while managing delivery, hiring, and technical standards.

The Principal AI Engineer will architect and scale AI systems, lead technical strategies, and mentor engineers while collaborating with diverse teams to support business needs.

Lead the architecture, design, and development of scalable data-driven applications and platforms, guiding teams in engineering excellence and cloud technologies.