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Customer Engineer - Infrastructure - Azure Monitor

Customer Engineer - Infrastructure - Azure Monitor

Customer Engineer role focused on infrastructure and Azure Monitor, requiring technical expertise in Azure Monitor, Python, Machine Learning, and AWS.

About the role

Job Title:

Job Description

The Azure Monitor Customer Engineer will work directly with customers, as a consultant and technical advisor to:

  • Design, Deploy, Review and Assess the health of the infrastructure
  • Upgrade and maintain deployments
  • Troubleshoot issues with infrastructure and agents
  • Tune and optimize for performance
  • Assist with reporting and visualizations
  • Implement new management packs
  • Assist in the development of custom management packs
  • Provide training in all areas of Azure Monitor to ensure customer goals are met

Ideal candidate experience:

  • 15+ years working as a depth expert and technology owner or consultant for Azure monitor
  • Ability to present to multiple levels of customer leadership.
  • Ability to act as a consultant and architect for multiple customers.
  • Broad knowledge across multiple monitoring scenarios:
  • Windows and Linux Operating Systems
  • Azure Monitor
  • KQL Kusto Query language advanced level
  • URL, Network monitoring
  • Connecting to ITSM systems
  • Dashboards, Reporting, and Visualizations
  • PowerShell scripting
  • Deep level knowledge in at least 3 of the above categories
  • Advanced level of English and good level of Dutch

Technical Skills Requirements:

Azure Monitor:

Broad knowledge of ALL the below areas, with deep understanding of (at least) 4 of the following:

Deep understanding of Azure Monitor architecture (metrics vs logs, data flow, ingestion, retention)

Strong knowledge of:

  • Log Analytics workspaces
  • Azure Monitor Metrics
  • Diagnostic settings
  • Resource‑level vs platform‑level telemetry

Ability to explain when to use Azure Monitor vs Azure Data Explorer / Grafana / third‑party tools.

Additionally, be able to ;

  • Write complex KQL queries across multiple tables
  • parse, extend, mv-expand
  • joins, time series, summarize patterns
  • performance‑optimized queries
  • reusable queries
  • functions
  • summary rules for cost & performance optimization
  • Debug slow or expensive queries

Tools

  • Visual Studio, Silect, MPViewer, Alert Update Connector, PowerShell

Linux OS and Linux Monitoring

Report Development

Network Monitoring

URL Monitoring

Related Skills:

  • System Center Orchestrator
  • System Center Data Protection Manager
  • System Center Virtual Machine Manager
  • System Center Service Manager

Location:

Language Requirements:

Time Type:

Originally posted on Himalayas

Skills

azure monitorpythonmachine learningaws
Sign Up to Apply
Sign Up to Apply
CompanyConcentrix
DepartmentEngineering
LocationNetherlands
Experience9+ years
Tenurefull-time
LevelMid-Level

Posted June 6, 2026

Customer Engineer - Infrastructure - Azure Monitor | OpenTalent