Automated AI Platform Engineer

2 days ago

Dublin, Dublin City, Ireland beBeeCloud Full time €95,000 - €105,000

We're seeking a seasoned DevOps Engineer to spearhead the development and maintenance of our AI platform's automated backbone.

About the Role
  • Design, develop, and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines to ensure seamless delivery of AI platform components and intelligent agents.
  • Implement Infrastructure as Code (IaC) and GitOps practices to manage scalable, secure, and reproducible environments.
  • Develop and manage Kubernetes-based infrastructure, including custom operators and GPU workload orchestration.
  • Integrate Machine Learning Operations (MLOps) tools and workflows to streamline the AI model lifecycle from training to deployment.
  • Deploy and maintain observability stacks for real-time monitoring, tracing, and alerting across distributed systems.
  • Enforce DevSecOps best practices, including automated security scanning, policy-as-code, and compliance automation.
  • Optimize cloud infrastructure for performance, cost-efficiency, and resilience.

You'll Bring:

  • 5-7+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform engineering.
  • Expert-level skills in CI/CD pipeline design and tools.
  • Deep IaC expertise.
  • Expert-level Kubernetes administration and workload management.
  • Experience with MLOps tools and platforms.
  • Proficiency in implementing observability stacks.
  • Advanced scripting skills in Python, Bash, or Go.
  • Strong understanding of cloud security best practices and automation.
  • Experience with GitOps workflows and cost optimization strategies for cloud-based AI/ML workloads.
  • Bachelor's degree in Computer Science, DevOps Engineering, or a related field.

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