Top Tech Jobs & Startup Jobs in Dublin

Lead and deliver AI-powered products and operational services by defining roadmap, managing AI rules and metrics, partnering with engineering and data science, owning backlog and releases, and ensuring scalable, measurable, and reliable platform solutions across stakeholders.

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.

Manage and engineer production, pre-production, UAT and development database systems. Design and optimize database tiers, perform patching/upgrades, security, backup/recovery, replication, performance tuning, and automation via IaC. Troubleshoot escalated incidents, follow change/problem/incident management, mentor team members, and collaborate globally with technology teams and business stakeholders.

Lead security reviews of third-party and internal applications, design secure architectures for cloud, mobile, and CI/CD pipelines, advise developers on secure coding and cryptography, apply security standards and automation (including GenAI/LLM tools), and define repeatable security requirements and controls across the SDLC.

Drive disciplined execution for BMI Platform Engineering by defining, sizing, prioritizing, tracking, and delivering cross-team programs. Lead day-to-day execution, manage dependencies, partner with engineering and product, identify and mitigate risks, translate strategy into executable plans, and improve planning and delivery processes.

Lead day-to-day execution of platform engineering programs: define, size, prioritize, track, and deliver work across multiple teams. Manage cross-team dependencies, identify and mitigate risks, translate strategic priorities into executable plans, and improve planning, governance, and developer experience while partnering closely with engineering, product, and stakeholders.

Lead Technical Product Manager responsible for defining and executing AI-powered product strategy, managing AI business rules and operational workflows, owning backlog and delivery, partnering with engineering and data science, and ensuring scalable, measurable AI platform capabilities and operational excellence.

Lead disciplined execution for the B&MI Platform Engineering program: define, size, prioritize, track, and deliver cross-team work; manage dependencies; partner with engineering and product; translate strategy into executable plans; identify and mitigate risks; and continuously improve planning, governance, and delivery practices.

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 day-to-day execution for BMI Platform Engineering: define, size, prioritize, track, and deliver work. Manage cross-team dependencies, partner with engineering and product, translate strategy into executable plans, identify risks, solve problems, and improve planning, governance, and delivery processes.