Top Tech Jobs & Startup Jobs in Dublin

Lead content strategy for the Mastercard Developers portal: define IA, content models, taxonomy, and language systems; embed with API product teams; integrate content standards into design tooling and docs-as-code workflows to improve discoverability for developers and AI agents.

Lead and coordinate complex, cross-functional R&D programs across global teams. Drive infrastructure and cloud standardization, optimize processes via automation and AI, maintain Jira hygiene, build automated reporting, remove blockers, and ensure timely delivery and program governance.

Senior Data Scientist responsible for manipulating large datasets, developing and validating predictive ML models, producing dashboards/prototypes, conducting QA for prototypes, and delivering data-driven insights to business partners. Collaborates cross-functionally, communicates with clients, follows coding and documentation best practices, and assists with data R&D.

Design, administer, optimize and secure enterprise database environments (production, UAT, dev). Lead replication, backup/recovery, performance tuning, automation (IAC), cloud integration, incident/change management, and mentor team members while partnering with technology and business stakeholders.

Lead design, administration, optimization, replication, backup/recovery and security of production, pre-prod, UAT and dev database systems across RDBMS and NoSQL platforms. Drive automation (IaC), troubleshoot performance incidents, follow change/problem/incident processes, mentor team members, influence architecture and best practices, and collaborate with global technology and business partners.

Design, build, validate, and deploy advanced predictive models and analytic solutions using large-scale data. Manipulate big datasets, apply statistical and ML techniques, perform QA and model validation, communicate findings to business partners, and collaborate with cross-functional teams to drive data-driven decisions and product prototypes.

Design, build, validate, and deploy advanced ML models and analytic solutions on large/complex datasets. Collaborate with stakeholders, perform QA on prototypes, present actionable insights, and support data R&D while following coding and documentation best practices.

Lead administration, monitoring, patching, troubleshooting and automation of enterprise load balancer platforms. Ensure high availability, implement monitoring strategies, collaborate with engineering and delivery teams, and train operations staff to resolve complex network and application traffic issues.

Operate and evolve high-throughput, low-latency 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 operations, collaborate in Agile teams, and produce required design documentation.

Lead and coordinate global R&D program delivery across engineering, data, and product teams. Drive infrastructure and cloud standardization, automate reporting and dashboards with AI, maintain Jira hygiene, remove blockers, ensure program governance, and improve delivery predictability for complex initiatives.