Top Automation Engineer Jobs in Dublin

Build and configure Redwood Finance Automation solutions for record-to-report processes, including close, reconciliation, journal automation, workflows, and ERP integrations. Integrate SAP S/4HANA or ECC and other source systems using connectors, files, and APIs. Perform testing, defect resolution, environment promotion, cutover, hypercare, documentation, and support handover. Candidates need live Redwood implementation experience, five or more years in finance systems or automation engineering, ERP integration expertise, and knowledge of finance controls.

Designs, integrates, validates, and improves robotics and automation systems, equipment, and tooling in regulated manufacturing environments. Leads complex engineering tasks, develops test and maintenance plans, investigates root causes, implements reliability improvements, maintains configuration control, and coordinates cross-functional deployment readiness. The role also requires PLC/HMI troubleshooting, network technology knowledge, vision systems, machine learning, API integration, documentation, compliance, and mentoring junior engineers.

Develop and maintain automated tests for backend applications and services using Selenium. Responsibilities include API and integration testing, defect tracking, CI/CD test integration, test framework maintenance, regression analysis, and quality reporting. The role collaborates with developers, QA engineers, and product teams and requires hybrid work from a customer office in Dublin.

Designs scalable QA automation and AI evaluation frameworks across web, APIs, data pipelines, and LLM-powered systems. Builds Playwright and TypeScript test infrastructure, integrates quality gates into CI/CD, reduces flakiness, and supports shift-left engineering practices. Develops evaluation pipelines using golden datasets, semantic scoring, and LLM-as-a-judge methods. Tests agentic workflows, security risks, performance, and distributed systems while improving observability, defect triage, and release confidence.

Designs scalable QA automation and AI evaluation frameworks across web, APIs, data pipelines, and LLM-powered features. Establishes risk-based testing, quality gates, CI/CD integration, observability, defect triage, and non-functional security testing. Partners with engineering, data science, product, and SRE teams to enable shift-left quality ownership. Evaluates AI systems for hallucinations, prompt injection, drift, retrieval failures, and agentic workflow risks using golden datasets, semantic scoring, and LLM-as-a-judge approaches.

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.

Design and build distributed systems that autonomously manage Kubernetes infrastructure at scale. Develop production Go services integrating cloud provider APIs, debug complex cloud-native production issues, and own features from architecture through rollout. Work with Kubernetes internals, time-series data, observability, CI/CD, and cloud resource optimization. Contribute to product direction, collaborate cross-functionally, and participate in on-call rotations where required.

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

Develop and maintain automated UI and API tests using C#, enhance front-end and back-end testing frameworks, conduct performance and manual testing, monitor QA results, support UAT, estimate QA efforts, and help define automation strategy. The role also includes coaching QA colleagues, collaborating within a Scrum team, and testing cloud-based microservice applications on Microsoft Azure.

Establish and lead network Infrastructure as Code and DevOps practices across a global enterprise network. Build reusable Python and Go automation with Terraform, Ansible, APIs, CI/CD pipelines, testing, drift detection, policy enforcement, and controlled rollouts. Modernize existing services, reduce configuration drift and operational risk, support complex changes and incidents, influence architecture and governance, and mentor engineers while maintaining hands-on responsibility for enterprise networking.

Leads the design, integration, validation, and deployment of robotics and automation systems. Defines architectures, specifications, acceptance criteria, and test plans; analyzes performance data; improves equipment reliability and maintainability; manages engineering changes, documentation, and configuration control; coordinates cross-functional readiness; embeds safety, quality, and compliance; and mentors contributors while promoting standardized practices.

Design and build distributed Go systems that autonomously manage Kubernetes infrastructure and cloud resources at scale. Own features end to end, debug complex production issues, integrate with AWS, GCP, and Azure APIs, and work with Kubernetes internals, time-series data, observability, CI/CD, and cloud-native tooling. Collaborate across teams, influence product direction, and participate in on-call rotations where required.

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 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.

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.

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.

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.