Senior Solution Engineer, Cloud & AI Infrastructure

Microsoft

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$106,400–$203,600 / yr
Posted
8 days ago
Freshness
Confirmed live 2 days ago
Closes
Mar 16, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $155k
$93k most similar roles pay here $228k

This role pays less than 65% of similar roles. Most pay $149,762–$214,000 — the shaded band above. At the midpoint, this role pays about $155k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 644 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 624 roles with salary data.

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At a glance

TL;DR · Senior Solution Engineer, Cloud & AI Infrastructure

Sr Solution Engineer, Cloud & AI Infrastructure - CTJ - Top Secret serves as a technical advisor for commercial customers navigating Frontier transformation. You will design secure, scalable, and sovereign cloud architectures while guiding organizations through modernization, migration, and transition efforts. Day-to-day responsibilities include leading technical workshops with live demos, whiteboarding architecture, rapid prototyping, and conducting proofs of concept to resolve blockers. You will manage the modernization of platform estates including hardware, software, databases, security, and networking. The role requires expertise in migrating Windows, Linux, and Oracle workloads using 6R strategies and containerization via AKS. Key technologies include Azure services, GitHub Copilot, Agentic AI tools, and Defender for Cloud. You must also possess deep knowledge of networking, VPNs, and enterprise platforms like SAP, VMware, and RedHat to solve complex infrastructure challenges in the Frontier AI era.

What you'll do

  • Design secure, scalable, and resilient cloud architectures for customer modernization and AI transformation.
  • Lead technical workshops using live demos, whiteboarding, and rapid prototyping to resolve customer blockers.
  • Execute proofs of concept (PoCs) and pilots to influence solution design and drive customer commitment.
  • Migrate core workloads including Windows, Linux, and Oracle systems to Azure environments.
  • Implement containerization best practices and manage deployments using Azure Kubernetes Service (AKS).
  • Design hybrid and cloud-native networking solutions including VPNs and secure routing architectures.
  • Integrate AI tools like GitHub Copilot and Agentic AI into customer infrastructure workflows.
  • Advise customers on compliance, security, and sovereign cloud requirements for business-critical applications.

What we're looking for

  • Must have a Master's degree plus 3 years of experience, a Bachelor's degree plus 4 years of experience, or 5+ years of equivalent experience.
  • Must possess an active U.S. Government Top Secret Security Clearance.
  • Must be a U.S. citizen to meet legal requirements for government agency support.
  • Experience in cloud infrastructure and migrating workloads such as Windows, Linux, and VM (preferred).
  • Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization (preferred).
  • Hands-on experience with GitHub Copilot, Agentic tooling, Windows Server, Linux, SQL Server, PostgreSQL, AKS, Azure Container Apps, and Defender for Cloud (preferred).
  • Strong understanding of Azure services including networking, security, compliance, and hybrid cloud scenarios (preferred).
  • Ability to lead technical engagements such as prototyping, pilots, and PoCs that drive production-scale outcomes (preferred).

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