Job Description


Job Overview

  • Job ID:

    J51265

  • Job Title:

    .Net Architect (Azure)

  • Location:

    Arlington, TX

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • 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 Architect (Azure) 

Job Description:

Architect and develop enterprise-grade applications using .NET Core / .NET 6+, C#, and Azure Cloud Services

Design and implement RESTful APIs, microservices, and event-driven architectures

Lead the development of Azure Functions, App Services, Service Bus, Event Grid, and Cosmos DB

Define and enforce coding standards, design patterns, and SOLID principles

Collaborate with DevOps teams to build CI/CD pipelines using Azure DevOps

Mentor developers and conduct code reviews to ensure quality and performance

Integrate SSO, OAuth2, JWT, and other authentication protocols

Create and manage ARM templates and infrastructure-as-code deployments

Optimize application performance, scalability, and security across Azure environments

Required Skills & Qualifications

Bachelor’s or degree in Computer Science or related field

10+ years of hands-on development experience with .NET technologies

3+ years of experience architecting cloud-native solutions on Microsoft Azure

Strong expertise in C#, ASP.NET Core, Entity Framework, and SQL Server

Deep understanding of Azure services: Azure API Management, Azure Storage, Azure Redis, Azure Kubernetes Service (AKS), etc.

Experience with unit testing frameworks like xUnit/NUnit and mocking tools (Moq, AutoFac)

Familiarity with NuGet, Fluent Validation, and dependency injection

Excellent communication and leadership skills

 


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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract