Top Tech Jobs & Startup Jobs in Dublin

Design, build, test, and maintain scalable ELT/data pipelines and architectures using Python, Databricks, and AWS. Ensure data security and controls, update data models, and perform advanced SQL and statistical data analysis to support business analytics.

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.

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 front-end architecture and delivery for complex React+TypeScript web applications, mentor engineers, define standards (components, state, testing), drive performance, accessibility, security, API integration (GraphQL/REST), and adopt AI-assisted engineering practices to improve code quality, delivery, and operational outcomes.

Lead multiple complex infrastructure programs end-to-end, establish portfolio governance, manage risks, dependencies, budgets and resources, align cross-functional teams, track progress and reporting, improve delivery practices, mentor program managers, and validate AI-assisted planning while ensuring data sensitivity and compliance.

Lead and mentor a software engineering team to architect, design, and deliver scalable, secure microservices using Java/Spring Boot and cloud platforms. Oversee the SDLC, enforce code quality and testing, drive CI/CD and modern engineering practices, collaborate cross-functionally, and resolve technical challenges to continuously improve product delivery.

Lead design and implement reliability, scalability, and observability for cloud and data platforms. Build IaC, CI/CD pipelines, use monitoring and SLO-driven improvements, apply enterprise AI for incident triage and reliability insights, and collaborate across teams to reduce toil and improve operational outcomes.

Lead operational risk management for Workplace Solutions globally, assessing risks for new initiatives, overseeing risk assessments and testing, reviewing loss events, supporting regulatory deliverables, engaging with horizontal risk programs, preparing materials for governance forums, and promoting a strong operational risk culture across regions and stakeholder groups.