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Power Platform DevOps Engineer in , us

REMOTE
il y a 7 jours

Power Platform DevOps Engineer

Power Platform DevOps Engineer needs 4-7 years of experience in Microsoft Power Platform.

Requirements

  • 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.
  • 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.

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.
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