Overview
On Site
Depends on Experience
Full Time
No Travel Required
Skills
.NET
API Management
Application Lifecycle Management
C#
DevOps
Finance
GitHub
Microsoft Azure
Python
Terraform
Windows PowerShell
IaC
Dataverse
Data Integration
Solution Architecture
Job Details
Azure DevOps Cloud Infrastructure Engineer
Minneapolis, MN (OR) Saint Pual, MN (ONLY LOCALS)
Contract to Permanent Position
The Opportunity
We’re seeking a strategic, hands-on Azure Platform Lead to own application development on Azure and guide the platform’s architecture, governance, and DevOps practices.
What You’ll Do
- Own the Azure platform roadmap: reference architectures, landing zones, guardrails, cost management, and governance.
- Design & build scalable solutions on Azure (App Services, Functions, AKS or containers, API Management, Service BEvent Grid, Azure SQL/Storage).
- Stand up/optimize DevOps: repos/branching, pipelines, environments, test automation, blue-green/rolling deploys via Azure DevOps or GitHub.
- Lead Power Platform enablement: advanced model-driven/canvas apps, ALM, solutioning, connectors, environment strategy, and COE patterns.
- Reliability & security: monitoring/alerting, SLOs, incident response, Key Vault, Entra ID (AAD), network design (VNets, private endpoints).
- Coach & collaborate with product, security, and business stakeholders; mentor engineers; set engineering standards.
- Document clearly: patterns, playbooks, and “how-to” guides others can reuse.
What You Bring
- 8+ years in modern application engineering, 5+ years deep on Azure.
- Proven solution architecture across app, data, integration, security, and networking pillars.
- Strong DevOps/IaC: Azure DevOps or GitHub Actions; Bicep/Terraform; CLI/PowerShell.
- Proficiency in at least one core language (e.g., .NET/C#, Node.js, or Python).
- Excellent communication; ability to influence, simplify, and ship.
Nice to Have
- API design at scale (API Management), event-driven patterns, caching.
- Data integration (Data Factory/Fabric), observability (App Insights/Log Analytics).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.