Top Tech Jobs & Startup Jobs in Dublin

Lead cyber risk management for consumer banking products: identify, quantify, and communicate technology risks; develop and report KPIs/KRIs; assess controls vs. policy and regulations; drive remediation with technical and business stakeholders; support continuous improvement and regulatory reporting.

Lead reliability and observability for customer-facing digital banking services. Define SLOs/SLIs, reduce operational toil via automation and self-healing, drive performance engineering and capacity planning, set SRE standards, mentor engineers, and integrate responsible AI-assisted engineering practices to improve code quality, incident analysis, and operational outcomes.

Design, build, and maintain secure, scalable employee-facing software and AI-enabled tooling. Lead implementation of AI-assisted engineering practices, collaborate cross-functionally, apply CI/CD and cloud-native patterns (preferably AWS), and ensure resiliency, security, and validation standards across the SDLC.

Lead marketing analytics for Workplace Solutions: define measurement frameworks, analyze participant and campaign data, build segmentation, run experimentation, create executive dashboards, improve data governance and accessibility, and enable cross-functional teams to drive engagement and conversion.

Lead a product-aligned engineering organization to build and operate a cloud-native Talent Performance platform. Own technology direction, architecture modernization, integrations, delivery, reliability, security, and governance. Manage multiple cross-functional teams, vendor relationships, and stakeholder alignment. Drive adoption of AI-assisted engineering with appropriate controls while ensuring production readiness, observability, cost governance, and measurable engineering KPIs.

Lead development of secure, scalable HR/talent-management backend systems on AWS. Design, code, review, and troubleshoot production software; build IaC and data models; drive CI/CD, resiliency, automation, and responsible AI-assisted engineering adoption; lead vendor evaluations and engineering communities of practice.