AI Platform Automation Expert

7 days ago


Dublin, Dublin City, Ireland beBeeDevops Full time €110,000 - €135,000
Job Description

The Staff AI DevOps Engineer is a strategic role that focuses on developing the automated core of our AI platform, driving Continuous Integration/Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and observability to enable secure, scalable, and rapid deployment of intelligent agents.

This individual will design and maintain CI/CD pipelines to support fast, reliable delivery of AI platform components and intelligent agents. They will also implement IaC and GitOps practices to manage scalable, secure, and reproducible environments.

To succeed in this role, you will need 5-7+ years of experience in DevOps, Site Reliability Engineering (SRE), or platform engineering, with a strong understanding of cloud security best practices and automation. You should also have expertise in implementing observability stacks and advanced scripting skills.

Required Skills and Qualifications
  • Expertise in designing and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, ArgoCD, and GitHub Actions
  • Deep Infrastructure as Code (IaC) experience with Terraform, CloudFormation, or similar technologies
  • Advanced Kubernetes administration and workload management skills, including custom controllers/operators
  • Experience with MLOps tools and platforms, such as Kubeflow, MLflow, Seldon Core, Vertex AI Pipelines, and SageMaker MLOps
  • Proficiency in implementing observability stacks using Prometheus, Grafana, Jaeger, OpenTelemetry, ELK, or similar solutions
  • Strong scripting skills in Python, Bash, Go, or other languages
  • Bachelor's degree in Computer Science, DevOps Engineering, or a related field
Benefits

This role offers a challenging opportunity to work with cutting-edge technologies and contribute to the development of our AI platform. As a Staff AI DevOps Engineer, you will have the chance to collaborate with a talented team of engineers and researchers to drive innovation and excellence in the field.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Software Development



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