DevOps with AIOps experience

  • Posted 7 days ago | Updated 7 days ago

Overview

Remote
$120,000+
Full Time

Skills

Amazon Web Services
Analytical skill
Artificial intelligence
Bash
Cloud computing
Collaboration
Continuous delivery
Continuous integration
Data Science
DevOps
Docker
Dynatrace
Google Cloud
Google Cloud Platform
IBM Watson
IMPACT
IT operations
Incident management
Java
Jenkins
Kubernetes
Machine Learning (ML)
Microsoft Azure
Operations
Optimization
Performance tuning
Pipeline management
Problem solving
Python
Software deployment
Software development
Splunk
Terraform
Workflow

Job Details

Job Description

Role: DevOps with AIOps experience

Location Required: Remote.

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.

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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