Job Summary
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The Windows Automation and Analytics Engineer is responsible for designing, automating, and operating enterprise‑grade Windows‑based systems. The role focuses on Windows OS knowledge, infrastructure automation, and data‑driven operational insights.
Tasks and Responsibilities
Windows OS Engineering
Support design, deployment, and maintenance of Windows clients (Windows 11)
Managing and analyzing Windows OS components
Group Policy (GPO), Intune, MDM
Windows security baselines
Networking, storage, patching, and update strategies
Troubleshoot complex OS‑level issues (performance, stability, security)
Automation & Configuration Management
Develop and maintain automation solutions using PowerShell, APIs and SDKs (Microsoft Graph, REST)
Automate OS deployment, configuration drift detection, remediation, and compliance reporting
Contribute to Infrastructure‑as‑Code and configuration standards
Data Structures, Analytics & Observability
Support enhancements to structured data models for system telemetry and operational metrics
Collect, normalize, and analyze data from event logs, endpoint telemetry, configuration and compliance data, and other sources
Build analytics and insights to support proactive operations, root‑cause analysis, and capacity and reliability planning
Software & Data Engineering
Develop tools and services in C# (.NET) for system management, automation, or monitoring scenarios
Design and query relational and unstructured data sources using SQL and KQL
Integrate data pipelines across monitoring, security, and management platforms
Collaboration & Technical Leadership
Act as a subject‑matter expert for Windows platforms and automation
Review designs and code (PowerShell, C#, queries)
Requirements
Windows Platform Expertise
Windows OS internals
Windows administration (enterprise scale)
Group Policy, Intune, MDM, and configuration management
Automation & Code & Data
PowerShell
C# /.NET (tooling, services, background jobs)
Good understanding of data structures, data modeling, and data analytics
Azure or hybrid infrastructure experience
Endpoint management platforms (Intune, SCCM/MECM)
Monitoring & analytics platforms (Azure Data Explorer, Log Analytics)
Infrastructure‑as‑Code xpzdshu (ARM, Bicep, Terraform)
Understanding of DevOps / SRE principles
Experience with automation frameworks and CI/CD for scripts
SQL: advanced querying, joins, indexing, performance
KQL: log analytics, dashboards, trend analysis
3+ years experience in enterprise IT system engineering
Proven experience operating Windows environments at scale
Track record of delivering automation and measurable operational improvements
Experience working in regulated or security‑sensitive environments is a plus
English fluent
Benefits
Flexible working conditions
Life and accident insurance
Health insurance at a competitive price
Investment in your learning and development
Gym membership discounts
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