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Microsoft Azure Jobs in Reston, VA (NOW HIRING)

NewGen

Azure Cloud Engineer

Lorton, VA · On-site

$56.25 - $75.25/hr

Design, implement, and manage secure enclave environments within Microsoft Azure * Ensure the stability, performance, and security of Azure enclave systems * Manage identity and access management ...

NewGen Technologies

Azure Cloud Engineer

Lorton, VA · On-site

$130 - $170/hr

Design, implement, and manage secure enclave environments within Microsoft Azure * Ensure the stability, performance, and security of Azure enclave systems * Manage identity and access management ...

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How much do microsoft azure jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for microsoft azure in Reston, VA is $60.76, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $68.27 per hour, depending on experience, location, and employer.

What is a Microsoft Azure?

A Microsoft Azure job typically involves working with Microsoft's cloud computing platform to design, implement, and manage cloud-based solutions. Roles may include cloud engineers, architects, administrators, or developers who specialize in Azure services like virtual machines, networking, security, and databases. These professionals help organizations migrate to the cloud, optimize infrastructure, and ensure system reliability. Azure jobs often require expertise in cloud computing, scripting, automation, and Microsoft certifications like Azure Fundamentals or Azure Solutions Architect.

What are the key skills and qualifications needed to thrive in the Microsoft Azure position?

To thrive in a Microsoft Azure role, you need a solid understanding of cloud computing concepts, proficiency in Azure services, and experience with deploying and managing cloud solutions. Familiarity with tools such as Azure Portal, Azure CLI, PowerShell, and certifications like Microsoft Certified: Azure Administrator Associate or Azure Solutions Architect Expert are highly valued. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in cross-functional teams. These skills ensure smooth cloud operations, efficient problem resolution, and successful delivery of cloud-based projects.

What types of projects and teams do Microsoft Azure professionals typically work on?

Microsoft Azure professionals often work on diverse cloud projects such as infrastructure migrations, application modernization, data analytics, and security implementations. They collaborate closely with software developers, IT operations, security teams, and business stakeholders to design, deploy, and maintain scalable cloud solutions. The work environment is usually fast-paced and collaborative, requiring frequent coordination across multidisciplinary teams. This provides excellent opportunities to expand your technical expertise, be involved in innovative projects, and progress into more specialized or leadership roles within cloud computing.

Is Microsoft Azure a high paying job?

Microsoft Azure professionals, such as cloud engineers and architects, typically earn above-average salaries compared to other IT roles due to the specialized skills required, including cloud computing, security, and certifications like Azure Solutions Architect. Compensation varies based on experience, location, and certifications, but overall, Azure-related roles are considered well-paying within the tech industry.

What are Microsoft Azure jobs?

Microsoft Azure jobs involve roles such as cloud engineers, administrators, developers, and architects who design, implement, and manage cloud solutions using Microsoft Azure services. These positions typically require knowledge of cloud computing, scripting, and certifications like Azure Fundamentals or Azure Solutions Architect. They often involve working with virtual machines, databases, security, and networking within a cloud environment.

What jobs can I get with Microsoft Azure?

Jobs related to Microsoft Azure include cloud solutions architect, cloud engineer, Azure developer, DevOps engineer, and cloud administrator. These roles typically require knowledge of cloud infrastructure, scripting, and Azure services, often supported by certifications like Microsoft Certified: Azure Solutions Architect or Azure Administrator. Such positions involve designing, deploying, and managing cloud-based applications and infrastructure.

What are popular job titles related to Microsoft Azure jobs in Reston, VA?

For Microsoft Azure jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Microsoft Azure jobs in Reston, VA look for?

The top searched job categories for Microsoft Azure jobs in Reston, VA are:

What cities near Reston, VA are hiring for Microsoft Azure jobs?

Cities near Reston, VA with the most Microsoft Azure job openings:

Microsoft Azure jobs near you
Infographic showing various Microsoft Azure job openings in Reston, VA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $126,379 per year, or $60.8 per hour.

Senior Azure AI Foundry Engineer

Interon IT Solutions

Chantilly, VA • Remote

$61.50 - $79.75/hr

Contractor

Re-posted 18 hours ago

Job description

#W2 Role
 
Senior Azure AI Foundry Engineer
Location: Remote
Employment Type: W2 Contract
Experience: 8+ Years
 
Job Description
We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.
 
Key Responsibilities
Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.
Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.
Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.
Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.
Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.
Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.
Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.
Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.
Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.
Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaborate with data engineers, data scientists, architects, business analysts, and product teams.
Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.
Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.
 
Required Skills
8+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.
Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.
Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.
Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.
Experience working with SQL, NoSQL, document databases, or vector databases.
Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.
Strong communication, analytical, troubleshooting, and documentation skills.
 
Preferred Skills
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Agent Framework.
Experience with Azure Machine Learning, Microsoft Fabric, or Azure Data Factory.
Experience building conversational AI, enterprise copilots, or intelligent document-processing solutions.
Knowledge of model evaluation, red-team testing, prompt-flow testing, and AI application monitoring.
Experience implementing Microsoft Entra ID, managed identities, RBAC, private endpoints, and enterprise security controls.
Microsoft Azure AI Engineer or Azure Solutions Architect certification is preferred.