Top Tech Jobs & Startup Jobs in Dublin

Lead and manage a software engineering team in Mastercard Foundry R&D focused on Quantum, AI/ML. Define requirements, design scalable solutions, drive agile project delivery, collaborate with data scientists and engineers, deploy Python/Jupyter-based systems to production (including Kubernetes), and coach talent while promoting innovation.

Ensure reliability, scalability, and performance of Mastercard applications by driving production readiness, automation, observability, incident triage and root-cause analysis, capacity planning, and collaboration with development teams to embed operational best practices and improve service availability.

Lead multiple engineering squads building cloud-native, real-time Java solutions. Manage deliverables, architecture, quality (CI/CD, automation), AI adoption, cross-region coordination, and stakeholder reporting.

Lead and coach software development teams to deliver high-availability commercial payments solutions. Oversee software design, delivery, and agile practices; communicate status to product teams and senior management; drive technical discussions with architects and operations.

Lead and mentor a small full-stack engineering team building high-performance analytics applications and front-end visualizations on massive datasets. Own design and delivery of service-oriented architectures and microservices, plan and scope features, ensure code quality and CI/CD practices, collaborate with product and global teams, and drive technical innovation and engineering processes.

Lead and coach software engineering teams to deliver high-availability commercial payments solutions; drive Agile best practices, oversee architecture and delivery, communicate progress to product, customers and senior management.

Lead a small full-stack engineering team to design, build, and deliver high-performance analytic applications and visualizations on large transaction datasets. Define service-oriented architectures, scope features, mentor engineers, drive CI/CD and engineering quality, and collaborate with product and global teams to deliver scalable microservice-based solutions.

Administer and architect production, pre-production, UAT and development database systems. Configure, patch, upgrade, secure, backup/recover, replicate (physical and logical), monitor, tune and troubleshoot databases. Collaborate with engineering teams, implement IaC automation for DB lifecycle, drive large enterprise initiatives, follow change/problem/incident processes, mentor team members, and influence database engineering best practices across a global environment.

Lead and administer production, pre-production, UAT and development database systems. Design and optimize database tiers, manage replication, backup/recovery, security, performance tuning, automation (IAC), and incident/change processes. Partner with engineering teams, mentor staff, drive enterprise database initiatives, and ensure resilient, scalable database infrastructure across RDBMS and NoSQL technologies.

Lead and drive execution for the Business & Market Insights Platform Engineering program: define, size, prioritize, track, and deliver cross-team initiatives. Manage dependencies, translate strategy into plans, identify and mitigate risks, partner with engineering and product teams, and improve planning and governance processes to ensure predictable outcomes.