Remote ServiceNow AI Ops Support Engineer

Globalchannelmanagement

  • Brookhaven, Georgia
  • 30+ days ago
  • Remote

    Highlights

    Remote ServiceNow AI Ops Support Engineer duties: Provide operational support for AIOps capabilities in ServiceNow (Event Management, Predictive AIOps, Service Mapping, and CMDB). Remote ServiceNow AI Ops Support Engineer needs 8+ years of experience working with the ServiceNow platform, especially in ITOM / AIOps modules.

    Numbers & Facts

    LocationBrookhaven, Georgia (
    Remote
    )

    Description

    Remote ServiceNow AI Ops Support Engineer needs 8+ years of experience working with the ServiceNow platform, especially in ITOM / AIOps modules

    Remote ServiceNow AI Ops Support Engineer requires:

    Hands-on experience with Event Management, Service Mapping, CMDB, and Discovery

    Familiarity with AIOps concepts anomaly detection, correlation, and noise reduction

    Experience integrating ServiceNow with monitoring tools (e.g., Splunk, Datadog, Dynatrace, SolarWinds, AppDynamics)

    Solid understanding of ITSM processes Incident, Change, Problem Management

    Scripting experience (JavaScript, PowerShell, or Python) for automation and workflows

    Strong troubleshooting and problem-solving skills

    Effective communication and documentation skills

    "FSM - ServiceNow

    Strong Development Experience.

    Remote ServiceNow AI Ops Support Engineer duties:

    Provide operational support for AIOps capabilities in ServiceNow (Event Management, Predictive AIOps, Service Mapping, and CMDB).

    Monitor and troubleshoot data ingestion pipelines from monitoring tools (e.g., Splunk, Dynatrace, AppDynamics, Datadog).

    Maintain and enhance correlation rules, anomaly detection policies, and alert suppression logic.

    Work with ITSM teams to ensure incidents and alerts are generated and routed appropriately.

    Perform root cause analysis (RCA) and contribute to continuous improvement of noise reduction and RCA capabilities.

    Collaborate with platform engineers and developers to configure and support automation workflows.

    Maintain documentation, dashboards, and runbooks for operational visibility.

    Support upgrades, testing, and patching of AIOps-related applications and integrations.

    Partner with cross-functional teams to improve service health insights and predictive capabilities.

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