Hybrid AI Platform Engineer: Production-Ready DevOps

Clorox Company

Dublin

Hybrid

EUR 90,000 - 120,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Flexible work environment
Learning and growth opportunities
Half-day Fridays

Job summary

The Clorox Company is hiring an AI Platform & DevOps Engineer in Dublin, Ireland, to build and operate cloud platform capabilities that deliver enterprise AI solutions. You’ll develop reusable IaC modules, CI/CD pipelines and secure runtime patterns while collaborating with AI engineers and security teams.

You will work to move AI from concept to production, focusing on automation, observability and cost-efficient cloud usage, with a hands-on approach to Kubernetes, Terraform and modern DevOps

Qualifications

  • Deep hands-on experience in at least one major public cloud, preferably Microsoft Azure
  • Strong Terraform, Python, CI/CD and Kubernetes capability
  • Experience deploying AI, LLM, RAG or agent-based solutions; expert-level provider knowledge not required

Responsibilities

  • Build cloud platform capabilities and automation frameworks for enterprise AI solutions
  • Develop reusable Infrastructure as Code modules and CI/CD pipelines
  • Operate secure, reliable production AI services with observability and governance
  • Collaborate with AI engineers, data, security and architecture teams to scale AI initiatives

Skills

Cloud engineering
DevOps
Terraform
Python
CI/CD
Kubernetes
LLMOps
AI Platform
Security
Observability
Automation

Tools

Azure
AWS
GCP
Terraform
Docker
Kubernetes
GitHub Actions
Azure DevOps
GitLab
Jenkins
Argo CD
Flux
Azure OpenAI
Vertex AI
AWS Bedrock
Vector Databases

Job description

The Clorox Company is hiring an AI Platform & DevOps Engineer in Dublin, Ireland, to build and operate cloud platform capabilities that deliver enterprise AI solutions. You’ll develop reusable IaC modules, CI/CD pipelines and secure runtime patterns while collaborating with AI engineers and security teams.

You will work to move AI from concept to production, focusing on automation, observability and cost-efficient cloud usage, with a hands-on approach to Kubernetes, Terraform and modern DevOps

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