.Net + Azure Architect with DevOps & AI Fundamentals

• Job ID:

J53755

• Job Title:

.Net + Azure Architect with DevOps & AI Fundamentals

• Location:

Charlotte, NC

• Duration:

24 Months + Extension

• Domain Exposure:

IT/Software

• Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

Job Title: .Net + Azure Architect with DevOps & AI Fundamentals

Location: Charlotte, NC

Duration: 8 Months + Extension

Bill Rate: $77/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description :

.NET, Azure, CICD with Terraform as the core engineering expectation and

positioned AI fundamentals as practical working knowledge, rather than

expecting an AIML specialist

Role Overview:

• We are looking for an experienced.NET/Azure Architect with strong

hands-on expertise in building and modernizing cloud-native

applications.

• The candidate should have solid experience in CI/CD automation and

Infrastructure as Code using Terraform, along with practical exposure to

modern AI-assisted software engineering, including building basic AI

agents and awareness of concepts such as SDD and MCP.

• The person should be comfortable working across application

development, cloud engineering, DevOps and AI-enabled development

practices.

Responsibilities:

• .NET & Application Engineering Design, develop and maintain scalable

applications using C#, .NET / .NET Core and ASP.NET Core.

• Develop and integrate REST APIs and microservices. Apply engineering

practices such as SOLID principles, dependency injection, design

patterns and clean architecture.

• Design solutions for scalability, performance, resilience and

maintainability.

• Participate in technical design, code reviews, troubleshooting and

production issue resolution.

• These expectations are consistent with the existing Principal

Engineer_Architect_JD.docx, which emphasizes .NET Core, microservices,

REST APIs, DDD and cloud-native engineering. Microsoft Azure Strong

hands-on experience with Azure services such as:

• Azure App Service
• Azure Functions
• Azure API Management (APIM)
• Azure Service Bus / Event Hubs
• Azure SQL Azure Storage
• Azure Key Vault Azure Monitor / Application Insights
• Exposure to AKS / containerized applications is desirable.
• The existing internal JD also identifies App Services, Functions, AKS,

APIM, Service Bus, Event Hubs, Key Vault, Azure SQL and Azure Monitor as

relevant Azure engineering capabilities.

• CI/CD & DevOps Strong practical knowledge of Azure DevOps CI/CD

pipelines.

• Experience creating and maintaining YAML-based build and deployment

pipelines.

• Automate application build, testing and deployments across

environments.

• Good understanding of branching strategies, release management,

deployment approvals and environment configuration.

• Exposure to GitHub Actions is an advantage.
• Your existing AX - Software Developer .NET -Azure, API.docx

specifically calls for unit testing, CI/CD, YAML pipelines, Terraform

and trunk-based branching.

• Terraform / Infrastructure as Code Hands-on experience with Terraform

for provisioning and managing Azure infrastructure.

• Ability to create, understand and modify Terraform modules.
• Understanding of Terraform state management, environments, variables

and reusable modules. Integrate Terraform provisioning with CI/CD

pipelines.

• Understanding of secure handling of configuration and secrets.
• Terraform module structure, environment handling, state management and

CI/CD integration are also reflected in your existing interview

criteria.

• AI / GenAI Fundamentals The candidate does not need to be an AI/ML

specialist, but should be comfortable adopting AI within software

engineering.

• Expected exposure: Understanding of Generative AI and LLM

fundamentals.

• Ability to create simple AI agents / agentic workflows.
• Basic understanding of prompting and tool-based AI interactions.

Awareness of RAG (Retrieval-Augmented Generation) concepts.

• Awareness of MCP (Model Context Protocol) and its purpose in

connecting AI applications/agents with tools and contextual information.

• Awareness of SDD (Spec-Driven Development) and AI-assisted software

development practices.

• Exposure to AI coding assistants such as GitHub Copilot or similar

tools.

• Ability to identify practical opportunities where AI can improve

development, testing, documentation and engineering productivity.

• Exposure to Azure AI / Azure OpenAI / Microsoft Foundry is desirable,

not mandatory.

Equal Opportunity

Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.