AIOps & Cloud Reliability Engineer

KMM Technologies, Inc.

Charlotte (NC)

On-site

USD 120,000 - 170,000

Full time

41 hours ago
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Job summary

KMM Technologies, Inc. seeks an experienced AIOps/Cloud Operations Engineer to support enterprise production environments, cloud infrastructure, and observability platforms.

You will leverage AIOps, observability tools, and automation to proactively identify issues, reduce alert noise, and improve reliability and performance across systems. The role requires strong production support, cloud operations expertise, and scripting for automation, with collaboration across DevOps, SRE, and

Qualifications

  • Experience in production support and ITIL processes.
  • Cloud operations experience across major cloud platforms.
  • Strong scripting skills in Python, Bash, or PowerShell.
  • Experience with AIOps and observability platforms.

Responsibilities

  • Monitor and support production applications, cloud infrastructure, and enterprise IT systems.
  • Implement and maintain AIOps solutions for incident detection, event correlation, anomaly detection, and RCA.
  • Manage cloud operations across AWS, Azure, or GCP.
  • Implement and maintain observability using metrics, logs, traces, dashboards, and alerts.
  • Troubleshoot production incidents, perform RCA, and implement preventive measures.
  • Participate in incident, problem, and change management processes.
  • Develop and maintain monitoring dashboards, alerts, and operational reports.
  • Automate repetitive tasks using scripting languages.

Skills

AIOps
Production Support
Cloud Operations
Observability & Monitoring
Scripting & Automation
DevOps & Infra

Education

Bachelor's degree or equivalent

Tools

Dynatrace
Splunk
Grafana
New Relic
OpenTelemetry
AppDynamics

Job description

KMM Technologies, Inc. seeks an experienced AIOps/Cloud Operations Engineer to support enterprise production environments, cloud infrastructure, and observability platforms.

You will leverage AIOps, observability tools, and automation to proactively identify issues, reduce alert noise, and improve reliability and performance across systems. The role requires strong production support, cloud operations expertise, and scripting for automation, with collaboration across DevOps, SRE, and

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