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DevOps with AIOps Exp

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Role: DevOps with AIOps Exp

Location : Remote.

job Type: C2C/W2/Fulltime

Job Summary

A DevOps Engineer with AIOps (Artificial Intelligence for IT Operations) experience is a specialized role that combines traditional DevOps practices with AI-driven automation and optimization. Here are the key responsibilities and skills typically associated with this role.

Responsibilities

  • Automation: Implement AI-driven automation to enhance the efficiency of IT operations.
  • Monitoring and Maintenance: Use AIOps tools to monitor systems, detect anomalies, and predict potential issues before they impact operations.
  • Pipeline Management: Develop and maintain CI/CD pipelines to ensure smooth deployment processes.
  • Collaboration: Work closely with development, operations, and data science teams to integrate AI solutions into the DevOps workflow.
  • Incident Management: Utilize AIOps for proactive incident management and resolution.
  • Performance Optimization: Continuously optimize system performance using AI insights and recommendations.

Years of experience needed

  • 7 + Years of experience

Technical Skills:

  • Programming: Proficiency in languages such as Python, Java, and Bash.
  • DevOps Tools: Experience with tools like Jenkins, Docker, Kubernetes, and Terraform.
  • AIOps Platforms: Familiarity with AIOps platforms such as Splunk, Dynatrace, or IBM Watson AIOps.
  • Cloud Services: Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
  • Machine Learning: Understanding of machine learning concepts and frameworks.
  • Problem-Solving: Strong analytical and problem-solving skills to address complex IT issues.

Certifications Needed:

  • NA
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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