AI-Ops Engineer - Stanford

Only for registered members Stanford, United States

1 month ago

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Job summary

The AI-Ops Engineer is a key technical contributor responsible for evolving traditional DevOps into AI- Ops at CGOE. This role leverages AI and machine learning to automate and enhance IT operations including performance monitoring, anomaly detection, root cause analysis, and automated remediation.

Responsibilities

  • Implement AIOps solutions that use ML algorithms to automate performance monitoring, workload scheduling, and infrastructure management.
  • Build anomaly detection systems that identify infrastructure issues before they impact users.
  • Create predictive maintenance workflows that analyze historical patterns to proactively mitigate issues.

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