Top Tech Jobs & Startup Jobs in Dublin

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, develop, and maintain scalable ELT data pipelines on Databricks/Palmos using Python, Spark/PySpark and SQL. Onboard enterprise datasets, apply CI/CD and testing, implement data governance and security, optimize performance, and support analytics and AI/ML use cases while leveraging enterprise AI-assisted development tools.

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.

Design, implement, and modernize IoT and edge infrastructure. Architect solutions, troubleshoot moderate-complexity issues, collaborate with global teams, validate AI-assisted recommendations, manage stakeholders, and ensure resiliency, security, and operational controls.

Lead design and build production software for enterprise-scale reliability: automation, control loops, self-healing, SLI/SLO definition and alerting, observability, incident leadership, on-call ownership, toil reduction, and AI-native engineering across the SDLC while ensuring security, performance, and cost control.

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.

Bridge product owners, business, operations, and developers to elicit and document business and data-flow requirements, translate them into technical solutions, perform data analysis and BI reporting, support architecture and governance, maintain healthy product backlogs, and facilitate sprint planning and stakeholder communication.

Provide independent oversight of technology and cybersecurity risk for Employee Platforms. Conduct technical risk assessments and threat model reviews, identify and drive remediation of control gaps, assess third‑party and cloud risks, monitor incidents, integrate AI/LLM toolsets into assessments, and collaborate with stakeholders to ensure compliance with policies and regulatory standards.

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.