Top Automation Engineer Jobs in Dublin

Supports automation and control systems at a GMP-regulated API manufacturing site. Responsibilities include troubleshooting PLC, HMI, SCADA, DCS, batch, and building management systems; managing upgrades and small-to-medium projects; developing specifications and SOPs; conducting root cause investigations; administering change control; supporting validation and compliance; and providing on-call OT support.

The Security Automation Engineer designs and implements automation frameworks for security operations, focusing on compliance and scalable security controls for Managed Services platforms.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Provides advanced L2 production and application support for business-critical distributed systems. Troubleshoots integrations, APIs, batch processing, and contact center technologies; performs root cause analysis; and implements permanent fixes. Designs automation, monitoring, alerting, log analysis, and self-healing tools to improve reliability and reduce resolution times. Collaborates across engineering, infrastructure, quality, and business teams during incidents, releases, and continuous improvement initiatives. Participates in an on-call rotation.

Design, build, and maintain infrastructure automation and virtualization platforms (Terraform, Ansible, Python) for on-prem and hybrid cloud. Manage CI/CD pipelines, optimise Nutanix/KVM/VMware platforms, monitor with Prometheus/Grafana/Datadog, support AWS/Azure integration, enforce policy-as-code and security hardening, and mentor junior engineers.

Lead the automation of the Ubuntu Linux kernel build process, ensuring a simplification for client distribution. Engage with other engineering teams and innovate solutions for kernel build challenges.

Design and implement automation for partner onboarding, data pipelines, ETL, reconciliation, and operational runbooks. Build API integrations, alerting, dashboards, and self-service tools to maintain partner data quality and streamline incident response.

Design and implement automation and ETL pipelines to centralize partner data, build self-service and alerting workflows, automate operational runbooks and incident contact retrieval, and create monitoring dashboards and reconciliation scripts to ensure data quality and consistency.

Architect and build an AI-native automation and orchestration toolchain (fusing traditional tools with foundation models), enable and mentor early adopter teams, standardize practices across departments, drive infrastructure-as-code and CI/CD adoption, contribute to the IT/Sec operating system, and champion cross-departmental adoption of automation and AI platforms.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Design, build, and maintain no-code/low-code and custom-code automations for influencer programs: discovery, onboarding, contracts, content tracking, reporting, and payments. Own integrations, webhooks, error handling, secrets management, and data validation (SQL) while partnering with marketing, finance, legal, and BI.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

Develop and maintain an AI-driven pipeline to auto-generate, process, and publish real-life and digital quests. Integrate AI frameworks, design scalable automation workflows, analyze user data to improve generation quality, build API integrations, participate in architecture and documentation, test with pytest/unittest, and collaborate with cross-functional teams to validate LLM outputs against real-world data.

Lead architecture and build an automation and AI-native toolchain (fusing traditional automation with agentic workflows), mentor teams, drive cross-department adoption, standardize practices, and evolve IT operations toward infrastructure-as-code and platform-first models.

As a QA Automation Engineer, you will build and maintain automated test frameworks, execute various testing types, and enhance application stability and reliability in a fast-paced environment.

Lead development, design, and implementation of process control systems (DeltaV) for bioprocess projects. Provide engineering leadership, create automation standards/specs, develop control strategies, mentor teams, manage project execution, support startups, and consult on S88/batch architectures and CSV for large capital projects.

The QA Automation Engineer will design and implement test automation for APIs and web UI, ensuring quality through CI/CD integration and collaboration with teams.

As an Automation QA Engineer, you'll test payment integrations, define test scope, develop automation plans, and build reliable automated tests to ensure product quality and continuous improvement.

Lead end-to-end test automation: design manual test cases from user stories, convert them into Playwright+TypeScript automated regression suites, test GraphQL APIs, maintain CI/CD integration, and improve automation coverage and test quality across web applications.

The Automation Test Engineer will design and develop AI-driven automated testing frameworks, mentor junior engineers, and ensure software quality through test automation and machine learning techniques.