Power Platform DevOps Engineer
Summary
DevOps engineer who monitors and manages Microsoft Power Platform environments (Power Apps, Power Automate, Power BI, Power Pages), building observability, monitoring, and alerting with Azure tools, handling incident response, and automating operational tasks using Python and Azure CLI.
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.