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远程ServiceNow AI运营支持工程师

Remote ServiceNow AI Ops Support Engineer

AI开发工程职能支持限定地区(需当地身份)
公司Global Channel Management, Inc.
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间5 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

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.
Originally posted on Himalayas

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