Top Tech Jobs & Startup Jobs in Dublin

Lead and deliver medium-to-large technical programs for Mastercard's fraud Decision Management Platform. Plan, prioritize, and execute projects in SAFe/Agile, coordinate cross-functional teams, manage stakeholders, ensure PCI/audit controls, provide technical support to business owners, and drive data-driven continuous improvement.

Design, implement, optimize, and maintain Azure-based database solutions. Ensure high availability, backup/disaster recovery, security compliance, performance tuning, automation via IaC, monitoring, and collaborate with development teams on schema and query optimization.

Lead content strategy for the Mastercard Developers portal: shape API product storytelling, overhaul information architecture, define content models and taxonomy, establish governance, and embed language systems into design tooling. Integrate tone and standards across UI copy, API docs, and onboarding, and enable docs-as-code and AI discoverability for developers and agents.

Design, implement, and optimize Azure-based database solutions (SQL, Cosmos DB, PostgreSQL, Redis). Ensure high availability, backup/recovery and disaster recovery. Automate deployments with IaC (Terraform/Bicep), support data modeling and query optimization, monitor with Azure Monitor/Log Analytics, enforce security and compliance, and share documentation and knowledge across teams.

Design, validate, and deploy advanced ML models on large datasets using big-data tools. Communicate results to business partners, build dashboards/prototypes, ensure QA for prototypes, and collaborate cross-functionally to drive data-driven decisions.

Design, administer, secure, and optimize production, UAT, and development databases. Lead replication, backup/recovery, performance tuning, automation (IaC), incident/change management, architecture, and mentoring for global database engineering initiatives.

Lead hands-on development, deployment, and operation of production AI and agentic systems. Build ML services, pipelines, APIs, and model-serving/monitoring/retraining capabilities. Partner with data scientists and platform/security teams to productionize models at scale, ensure reliability, observability, security, and governance, and mentor engineers.

Lead and coordinate complex R&D programs across global teams, drive cloud and infrastructure alignment, automate operational reporting with AI, maintain Jira hygiene, remove delivery blockers, optimize processes, and support events and local initiatives to ensure timely, predictable delivery.

Design, develop, validate, and deploy predictive models and analytics on large datasets using statistical and ML techniques. Communicate insights to stakeholders, perform QA on prototypes, collaborate with cross-functional teams, and follow coding and documentation best practices.

Operate, maintain and evolve low-latency, high-throughput authentication and fraud decisioning services. Build and maintain CI/CD pipelines, deploy and troubleshoot across AWS (EKS), on-prem and hybrid environments, improve observability and reliability using SRE practices, automate infrastructure with IaC, collaborate in an Agile team, and produce technical documentation.