Top Tech Jobs & Startup Jobs in Dublin

Lead data science initiatives for Small Business, building and validating predictive models on large datasets. Communicate findings to business partners, develop multivariate models, dashboards and prototypes, ensure code quality and documentation, perform QA on prototypes, and collaborate across cross-functional teams to drive data-driven decisions.

Design, implement, optimize, and maintain Azure-based database solutions. Ensure high availability, performance tuning, backup/recovery and disaster recovery. Automate deployments via IaC, support schema and query optimization, monitor systems, enforce security/compliance, and share documentation and knowledge across teams.

Lead content strategy for the Mastercard Developers portal: define IA, content models, taxonomy, and language systems. Embed with API product owners to translate technical capabilities into clear developer-facing narratives. Integrate content standards into design tooling, drive docs-as-code practices, and establish governance so content remains discoverable and consistent for humans and AI.

The Senior Platform Engineer at Mastercard oversees database systems, ensuring secure, scalable infrastructure and software deployment. Responsibilities include optimizing database software, monitoring performance, troubleshooting issues, and collaborating with technology teams to align solutions with business needs.

Design, build, validate, and deploy predictive models and analytics on large datasets. Perform statistical analyses, QA testing, prototype development, and present insights to business partners. Collaborate cross-functionally and follow coding and documentation best practices.

Lead day-to-day administration, monitoring, patching, and troubleshooting of enterprise load balancers and WAFs to ensure high availability. Develop automation, monitoring strategies, and certificate/PKI management. Collaborate with engineering and project teams to design scalable architectures, run cross-team troubleshooting, and provide training to operations staff.

Lead and administer production, pre-production, UAT and development database systems; design scalable, secure database tiers; implement replication, backup/recovery, performance tuning, monitoring, automation (IaC), and incident/change management; partner with technology teams, mentor staff, and drive enterprise database architecture and remediation.

Lead and coordinate global R&D program delivery across cloud and infrastructure teams. Drive standardization, automation, Jira hygiene, AI-enabled reporting, and cross-functional execution while removing blockers and improving delivery predictability.

Lead content strategy for Mastercard Developers: define API product storytelling, overhaul information architecture, create content models and governance, integrate language systems into design tooling, and ensure docs are discoverable and LLM-friendly while partnering with product, design, and engineering.

Lead hands-on development and production deployment of AI and agentic systems. Build and operate ML services, pipelines, and APIs, design model serving/monitoring/retraining, partner with data scientists to productionize models, ensure reliability/security/governance, and mentor engineers.