Job Description


Job Overview

  • Job ID:

    J52080

  • Job Title:

    NET Azure Solution Architect

  • Location:

    Virginia beach, VA

  • Duration:

    4 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

Core Experience:
10+ years of combined hands-on experience in Azure Cloud, distributed systems, and Microservices architecture.
Strong background designing, developing, deploying, and optimizing enterprise-grade cloud applications.

Azure & Cloud Expertise:
Extensive experience with Azure API Management (APIM), Azure Application Insights, Azure Function Apps, and Azure API Gateway.
Hands-on expertise with Azure Kubernetes Service (AKS), containerized deployment, scaling, and microservice orchestration.
Proficient in Azure cloud services including Azure Data Factory, Azure Storage, Azure SQL / SQL Server, and NoSQL stores.
AI & GenAI (Mandatory Azure AI Foundry):
Practical experience with Azure AI Foundry, including:

RAG Pipelines
LLMs / GenAI solutions
Vector stores and AI orchestration
Azure OpenAI and Azure AI Search
Microservices & API Engineering:
5+ years of experience designing and implementing Microservices.
Expertise in API development and documentation using Swagger / OpenAPI / SwaggerHub.
Solid understanding of dependency management, build systems, and backend performance optimization.

Identity & Security:
4+ years of experience integrating SSO with REST APIs using major IAM providers.
Deep knowledge of modern authentication and authorization standards:
OAuth2 / OIDC, SAML,JWT Token flows

MFA, RBAC

Experience securing cloud-native microservices and distributed systems.
Data Technologies:
Strong hands-on experience with relational, graph, and unstructured data:
SQL Server, Azure SQL, Cosmos DB, Storage Tables, Blob storage.

DevOps & CI/CD:
Solid understanding of Azure DevOps pipelines, Git repositories, release strategies, IaC, and cloud deployment practices.
Experience with Azure Code Commit, automated testing, and monitoring.
Monitoring & Analytics:
Working knowledge of analytics and observability tools:
Dynatrace, Firebase, Google Analytics, App Insights, Azure Monitor.

Certifications (Preferred):
Azure certifications such as:
Azure Solutions Architect
Azure DevOps Engineer
Azure Developer Associate


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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