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Power平台DevOps工程师 Power Platform DevOps Engineer

Power Platform DevOps Engineer

开发工程限定地区(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。

Power Platform DevOps Engineer needs 4-7 years of experience in Microsoft Power Platform.
Power Platform DevOps Engineer requires:
3-5 years of experience working in production and operational support roles, preferably supporting Microsoft Power Platform solutions (Power Apps, Power Automate, Power BI, Power Pages).
4-7 years of experience in Microsoft Power Platform.
Demonstrated expertise in observability, monitoring, alerting, and troubleshooting within complex technical environments.
Strong hands-on experience with monitoring and observability tools (such as Azure Monitor, KQL, Application Insights, Power Platform Admin Center, Log Analytics, etc.).
Solid understanding of incident management, root cause analysis, and developing effective resolution workflows.
Proficiency in scripting and automation for operational tasks (Python, Azure CLI, or similar)
Microsoft Azure Full Stack experience, including Azure App Services, Azure Functions, Logic Apps, and Azure Data services.
In-depth experience with Microsoft Fabric, including its architecture, integration, and its interplay with the Power Platform for data analytics, governance, and scalability.
Relevant Microsoft certifications (e.g., PL-400, PL-600).
Experience working within Agile or DevOps teams.
Knowledge of enterprise security, compliance, and governance in cloud environments
Power Platform DevOps Engineer duties:
Monitor and manage Microsoft Power Platform environments, ensuring high availability, optimal performance, and robust security.
Design, implement, and maintain end-to-end observability solutions, including centralized logging, metrics, and distributed tracing for Power Platform components.
Develop and configure effective monitoring and alerting systems to proactively identify performance issues, outages, or abnormal system behaviors.
Respond promptly to incidents and service interruptions, executing root-cause analysis and troubleshooting to restore services efficiently.
Collaborate closely with development, infrastructure, and business teams to continuously improve operational processes and system resilience.
Originally posted on Himalayas

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