Azure Solutions Architect
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Role details
Tech stack
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Job description
Design, build, and maintain a custom HyperV control plane responsible for lifecycle management of virtual machines supporting VDI workloads. This is a deep-technical, high-coding-responsibility role requiring mastery of HyperV internals and modern .NET/C# development practices., * Architect and develop the Hyper-V control plane from the ground up, including VM provisioning, lifecycle, and state management.
- Implement software-defined infrastructure abstractions over Hyper-V APIs (WMI/CIM, VMMS service) using C# and .NET.
- Write high-performance, concurrent code for real-time VM orchestration; profile and resolve latency/throughput bottlenecks.
- Develop and maintain PowerShell-based automation for configuration management, health monitoring, and remediation workflows.
- Collaborate with BFSI client architects to translate VDI workload requirements into control-plane design decisions.
- Participate in AI-assisted development workflows using GitHub Copilot and Claude; champion best practices within the team.
- Produce and maintain technical design documents, API contracts, and runbooks.
Requirements
Hyper-V Internals & Architecture
C# / .NET (5+)
PowerShell Advanced Scripting
Software-Defined Infrastructure (SDI)
Concurrency & Multi-threading
VDI Workloads (Hyper-V / RDS)
WMI / CIM & Windows APIs
Performance Engineering & Profiling
REST API Design & Microservices
Azure / Windows Server Networking
DevOps / CI-CD (Azure DevOps / Git)
AI-Assisted Dev (GitHub Copilot / Claude), Microsoft Certified: DevOps Engineer Expert (AZ-400)
VMware Certified Professional DCV (VCP-DCV)
CKAD / CKA (Kubernetes context awareness), * 8 12 years in infrastructure development with at least 3 years of hands-on Hyper-V internals experience.
- Proven track record building production-grade software (not just scripts) on Windows Server infrastructure.
- Deep expertise in C#/.NET and PowerShell with strong concurrency and performance engineering fundamentals.
- Experience in BFSI or similarly regulated environments with exposure to VDI (Hyper-V / RDS) workloads preferred.
- Comfortable operating in an AI-first engineering culture; active user of AI coding assistants.
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