AI Platform DevOps Engineer

Clorox; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Health benefits

Flexible work environment

Learning & growth opportunities

Job summary

Clorox is seeking an AI Platform DevOps Engineer in Dublin to build, automate, secure and operate cloud platform capabilities for enterprise Generative AI solutions.

You will develop reusable IaC modules, CI/CD pipelines, secure runtime patterns, observability, and self-service capabilities, moving AI from PoC to production at scale.

Qualifications

• Strong cloud engineering and DevOps experience.
• Hands-on Terraform, Python, CI/CD and Kubernetes.
• Experience operating production cloud environments.
• Practical experience deploying AI, LLM, or agent-based solutions.

Responsibilities

• Design, automate and operate cloud-native platforms for AI workloads.
• Build IaC modules, CI/CD and GitOps pipelines for production.
• Automate security, compliance and evaluation controls in production.
• Collaborate with AI engineers, Security, Privacy and Architecture teams.

Skills

Terraform

Python

Kubernetes

CI/CD

Cloud platforms

GitOps

Security

Observability

Tools

Docker

AKS

EKS

GKE

GitHub Actions

Argo CD

Flux

Azure DevOps

Job description

## AI Platform DevOps EngineerApply: Dublin - Ireland: Full time: Posted Today: JR23571Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace**Your role at Clorox:**A hands-on engineering role responsible for building, automating, securing and operating the cloud platform capabilities used to deliver enterprise Generative AI solutions. The engineer will develop reusable Infrastructure as Code modules, CI/CD and GitOps pipelines, secure runtime patterns, AI service integrations, observability, evaluation controls and self-service capabilities. The role focuses on moving AI solutions from proof of concept into reliable production services. It combines cloud platform engineering, DevSecOps, Site Reliability Engineering and LLMOps practices. The engineer will work closely with AI engineers, application teams, data engineers, Security, Privacy, Risk and Enterprise Architecture.**In this role, you will:**Generative AI is transforming how businesses operate, and we're looking for an experienced AI Platform & DevOps Engineer to help turn AI ambition into enterprise reality. This is an opportunity to join a team building the cloud platforms, automation frameworks and operational capabilities that power secure, scalable and reliable AI solutions across the organisation.If you're passionate about cloud engineering, DevOps, Kubernetes and Generative AI, and enjoy solving complex engineering challenges this role is for you. AI innovation doesn't succeed through great models alone. It requires robust platforms, secure infrastructure, automated deployment pipelines and production-grade operational controls. In this role, you'll be responsible for creating the foundations that enable AI solutions to move from proof of concept into enterprise-scale production. Your work will help: * Accelerate delivery of AI solutions across the business* Enable secure and responsible AI adoption* Reduce deployment complexity through automation and reusable platform services* Improve reliability, observability and governance of production AI applications* Optimise cloud and AI consumption costs* Establish engineering standards for the next generation of enterprise AI capabilities You'll design, automate and operate cloud-native platforms supporting: * Large Language Models (LLMs)* Retrieval-Augmented Generation (RAG) solutions* AI Agents and Agentic AI workflows* Enterprise AI APIs and services* Vector search and retrieval platforms* AI observability and monitoring capabilities* Secure AI deployment and governance frameworks Working alongside AI Engineers, Application Teams, Security, Privacy and Architecture partners, you'll help create reusable capabilities that can be leveraged across multiple AI initiatives. We're looking for someone who enjoys being hands-on with modern engineering tools, including:**Cloud & Infrastructure*** Microsoft Azure (preferred)* AWS and/or GCP exposure* Terraform* Infrastructure as Code**Development & Automation*** Python* FastAPI* REST APIs* GitHub Actions, Azure DevOps, GitLab or Jenkins**Containers & Platform Engineering*** Docker* Kubernetes (AKS, EKS or GKE)* GitOps (Argo CD, Flux)**Generative AI & LLMOps*** Azure AI Foundry* Azure OpenAI* AWS Bedrock* Google Vertex AI* Agent Frameworks* Vector Databases* Embeddings & Retrieval Pipelines* AI Evaluation & Observability **What Success Looks Like**You'll help establish repeatable AI platform capabilities that:* Provision AI environments quickly and consistently* Automate security, compliance and evaluation controls* Provide full traceability for models, prompts and agent workflows* Deliver observable, resilient and supportable production services* Enable responsible scaling of AI across the enterpriseYour impact will be measured not only by what you build, but by how effectively you enable teams across the business to deliver AI solutions faster and more safely.**What we look for:**The successful candidate will have deep hands-on experience in at least one major public cloud, preferably Microsoft Azure, together with strong Terraform, Python, CI/CD, container and Kubernetes capability. Practical experience deploying LLM, RAG or agent-based solutions into production is essential. Experience with additional cloud providers and AI platforms is desirable, but expert-level knowledge of every provider is not expected.You may currently be a:* Senior DevOps Engineer* Platform Engineer* Site Reliability Engineer (SRE)* Cloud Engineer* MLOps Engineer* AI Platform Engineer Experience * Strong cloud engineering and DevOps experience* Hands-on expertise with Terraform, Python, CI/CD and Kubernetes* Experience operating production cloud environments* Practical experience deploying AI, LLM, RAG or agent-based solutions* A passion for automation, reliability and continuous improvement* The ability to solve complex engineering challenges and influence technical direction **Workplace type:**#LI-Hybrid**Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That’s why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive.** **Learn more****.**## **Benefits we offer to help you be well and thrive:*** Competitive compensation* Generous 401(k) program in the US and similar programs in international* Health benefits and programs that support both your physical and mental well-being* Flexible work environment, depending on your role* Meaningful opportunities to keep learning and growing* Half-day Fridays, depending on your location