Senior AI Infrastructure Specialist

4 days ago

Dublin, Dublin City, Ireland beBeeDeveloper Full time €95,000 - €105,000
Job Opportunity

This is a challenging position for a skilled AI DevOps Engineer. The ideal candidate will have extensive experience in managing complex systems, implementing infrastructure as code, and deploying scalable environments.

Key Responsibilities
  • Crafting CI/CD pipelines to support rapid delivery of AI platform components and intelligent agents
  • Implementing Infrastructure as Code (IaC) and GitOps practices to manage secure and reproducible environments
  • Building and maintaining Kubernetes-based infrastructure, including custom operators and GPU workload orchestration
  • Integrating MLOps tools and workflows to streamline the AI model lifecycle from training to deployment
  • Deploying and maintaining observability stacks for real-time monitoring, tracing, and alerting across distributed systems
  • Enforcing DevSecOps practices, including automated security scanning, policy-as-code, and compliance automation
Requirements
  • At least 5 years of experience in DevOps, SRE, or platform engineering
  • Expertise in CI/CD pipeline design and tools
  • Deep Infrastructure as Code (IaC) knowledge
  • Advanced Kubernetes administration and workload management skills
  • Experience with MLOps tools and platforms
  • Proficiency in implementing observability stacks
  • Strong scripting skills
  • Good understanding of cloud security best practices and automation

The successful candidate will be a clear communicator who can collaborate with various teams, document complex systems, and present infrastructure strategies and metrics to leadership.

They will lead by example, mentor others in best practices, and drive continuous improvement across the stack.

Preferred Qualifications
  • Certified Kubernetes Administrator (CKA)
  • DevOps Engineer certifications (AWS, Azure, GCP)
  • FinOps certification
  • Additional certifications in MLOps platforms or cloud security

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