Top Tech Jobs & Startup Jobs in Dublin

Lead a small senior team designing, building, and operating enterprise-scale infrastructure platforms. Own architecture through production, write and review production code, run on-call rotations, establish AI-native engineering practices, ensure security and reliability, decompose ambiguous problems, measure outcomes, and collaborate with stakeholders to drive scalable, cost-effective infrastructure solutions.

Design, build, and operate enterprise-scale infrastructure platforms; write and review production code; own reliability, performance, security, and cost; run on-call rotations and respond to incidents; use AI-native engineering practices to accelerate development and automation; collaborate on technical decisions and decompose ambiguous problems into production-ready systems.

Lead and coach data engineering teams to onboard enterprise datasets into Palmos and deliver scalable Databricks/Spark pipelines. Drive adoption of data mesh and lakehouse patterns, enforce governance, security, observability, and SDLC best practices, and enable analytics and AI/ML use cases through high-quality, reusable data products.

Lead and manage an engineering team to design, build, and operate scalable data integration and processing solutions using Databricks/Spark, AWS data services, Kafka streaming, and CI/CD tooling. Collaborate with cross-functional and distributed teams to deliver secure, high-performance data pipelines and analytics-ready platforms.

Lead a global security engineering organization to design, deliver, and operate enterprise-scale AI-powered security platforms. Own strategy, lifecycle, and adoption of cloud-native security and Data & AI/ML controls, partner with product and infrastructure teams, manage staffing and budget, and drive risk-based assessments for cloud Data & AI services.

Lead and mentor SRE practices to design, implement, and operate reliable cloud and data platforms. Build IaC, CI/CD, observability, and containerized deployments; use enterprise AI to accelerate incident triage and reliability improvements while ensuring compliance and data sensitivity controls.

Lead enterprise architecture for Digital Workflows, managing multiple teams and cross-product initiatives. Drive ServiceNow adoption, provide strategic direction, interface with senior stakeholders, and deliver firmwide architecture objectives while championing inclusion.

Design, implement, and operate resilient cloud and data platforms. Automate infrastructure and CI/CD, instrument observability, validate AI-assisted operational outputs, manage SLO-driven reliability improvements, and collaborate across teams to troubleshoot and scale services.

Lead end-to-end product delivery for Digital Workflow client services: manage intake, dependencies, release planning, change readiness, and risk/controls. Align product, technology, and business stakeholders, drive continuous improvement, maintain delivery plans and status reporting, and ensure operational readiness for enterprise-scale initiatives.

Design, develop, and deliver scalable, secure data integration solutions using Databricks and AWS. Build ETL/ELT pipelines, handle diverse file/table formats, implement CI/CD, collaborate with cross-functional and distributed teams, and provide complex data analysis for business intelligence.