Senior Digital Solution Engineer, Cloud and AI Platforms

Microsoft

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Dallas, TXFargo, NDMinneapolis, MNPhoenix, AZDenver, CO
Salary: $106,400–$203,600 / yr
Posted: 14 days ago
Freshness: Confirmed live today
Closes: Apr 10, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k

This role $155k

$94k $226k

below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $151,000–$213,200 — the blue 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Senior Digital Solution Engineer, Cloud and AI Platforms

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The Senior Digital Solution Engineer - Cloud and AI Platforms joins the Small Medium Enterprises and Channel team to support mid-market customers in their modernization goals. In this technical sales role, you will design secure, scalable, and resilient cloud architectures that support AI workloads and business-critical applications. You will lead architecture sessions, conduct technical demonstrations, and perform migration planning for core workloads including Windows, SQL Server, Linux, PostgreSQL, and Oracle. Key technologies include Azure Kubernetes Service, Azure Arc, and various networking components like virtual private networks and secure routing. You will also integrate partner technologies such as NetApp, VMware, Red Hat, and SAP. The role focuses on solving infrastructure challenges by guiding customers through containerization, cloud-native services, and AI-powered infrastructure transformation to improve agility and reduce costs.

Skills

Microsoft Cloud Azure Kubernetes Service Azure Arc Containerization Cloud Migration Hybrid Cloud Networking SQL Server PostgreSQL Oracle Linux Windows VMware NetApp Red Hat SAP Virtual Private Networks

What you'll do

Design secure, scalable, and resilient cloud architectures to support AI workloads and business-critical applications.
Lead technical demonstrations, proofs of concept, and architecture sessions to drive customer deployment decisions.
Guide customers through migrating core workloads like Windows, SQL Server, Linux, and PostgreSQL to Microsoft Cloud.
Implement cloud-native services including Azure Kubernetes Service, Azure Arc, and containerization strategies.
Design hybrid and cloud-native networking solutions including virtual networks, VPNs, and secure routing.
Integrate partner technologies such as NetApp, VMware, Red Hat, and SAP into optimized cloud solutions.
Resolve technical blockers by collaborating with engineering teams and providing customer feedback.
Translate technical capabilities into business outcomes to help customers modernize infrastructure and reduce costs.

What we're looking for

Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
4+ years of technical pre-sales or technical consulting experience.
6+ years of technical pre-sales, technical consulting, or technology delivery experience (preferred).
4+ years of experience with cloud and hybrid infrastructure, architecture designs, migrations, and technology management (preferred).
5+ years of technical pre-sales or technical consulting experience (preferred).
Experience in cloud infrastructure, including migration of workloads such as Windows, SQL, Linux, and PostgreSQL (preferred).
Experience with Azure Kubernetes Service (AKS), App Platform, and containerization strategies (preferred).
Advanced understanding of Cloud & AI services, including security, compliance, and hybrid cloud scenarios (preferred).

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