AI Ops Engineer
Indexed description
Responsibilities
Responsibilities:
- Deploy AI-driven monitoring and operational intelligence solutions.
- Develop automation for incident detection, response, and remediation.
- Analyze operational data to identify patterns and predict failures.
- Implement event correlation and anomaly detection.
- Integrate AI tools with ITSM platforms.
- Reduce alert fatigue through intelligent automation.
- Build dashboards and operational analytics.
- Improve system availability and performance through AI insights.
Required Skills And Experience
- 5–10 years of hands-on experience in IT operations and cloud environments
- Proficiency with AIOps platforms for automating IT operations
- Strong understanding of machine learning concepts and their applications in IT
- Experience using observability tools such as Splunk, Datadog, Dynatrace, and New Relic
- Expertise in ServiceNow ITOM for IT operations management
- Advanced Python scripting skills for automation and data processing
- Proven ability in data analytics to drive operational insights
- Solid knowledge of cloud operations and best practices and automation frameworks
- AI/ML certifications preferred
- Cloud certifications
- ITIL Foundation
- Splunk/Dynatrace certifications beneficial
Posted Salary Range: USD $220,000.00 - USD $240,000.00 /Yr.
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