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# Azure Full Stack Engineer

- **Company:** HERO TALENT SOLUTIONS LLC
- **Location:** Columbia, MD, United States
- **Experience:** Expert
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Firewall, Application Performance Management, Application Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Storage, Continuous Integration, Dataspaces, DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, Log Analysis, SQL Azure, Routing, Node.Js, OAuth, Performance Tuning, Power BI, Azure Active Directory, Azure DevOps Pipelines, Azure Machine Learning, Microsoft SharePoint, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Management of Software Versions, Web Applications, Web Services, Enterprise Data Management, Data Logging, Network Routing, Transport Layer Security, Load Balancing, Microsoft Power Automate, ReactJS, Large Language Models, Azure Powershell, Firewalls (Computer Science), Backend, Containerization, Data Lakes, AI Platforms, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Bicep, Tools for Reporting, Front End Software Development, Virtual Agents, Restful APIs, Terraform, Angular Ui, Serverless Computing, Docker, Key Vault, Web Api, Microservices
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c770b1c4f512c431

## About the Role

Do you have experience in Web applications?, Cloud & Architecture

 * 5+ years working with Azure Application Gateway, App Services, VNETs, Private Endpoints.
 * Strong understanding of cloud networking, load balancing, firewalls, SSL/TLS, and routing.
 * Hands-on experience developing scalable microservices on Azure.

Development

 * Angular or React proficiency (Angular strongly preferred).
 * Backend expertise in one or more:
 * C# / .NET
 * Node.js
 * Python
 * Experience building REST APIs, serverless functions, and long-running workloads.

AI & Data Ecosystem

 * Experience integrating with Azure OpenAI / Cognitive Services.
 * Familiarity with enterprise data services:
 * Azure SQL
 * SharePoint Online
 * Azure Blob / Data Lake
 * Power Automate
 * Tableau / Power BI

DevOps

 * Strong experience with:
 * Azure DevOps Pipelines
 * GitHub Actions
 * Infrastructure-as-Code (IaC)
 * Familiarity with containerization (Docker) and optional Kubernetes exposure.

## Description

Architecture & Platform Engineering

 * Design, build, and manage Azure Application Gateway configurations, including:
 * HTTPS listeners, routing rules, path-based routing
 * Web Application Firewall (WAF) policies
 * SSL/TLS termination and certificate lifecycle
 * Build and maintain Azure App Services and App Service Plans for:
 * AI chat agent services
 * API services
 * Integration microservices
 * Reporting and backend automation workloads
 * Engineer secure integrations with:
 * Azure SQL DB
 * Azure Blob Storage
 * SharePoint Online
 * Azure AI Services / Azure OpenAI
 * Power Automate + ADF
 * Data Lake & Reporting tools (Tableau, Power BI)

Application Development

 * Develop and maintain Angular UI / Azure Web App frontend.
 * Develop backend APIs (Node.js, .NET, Python, or equivalent) hosted on Azure App Services.
 * Implement secure inter-service communication patterns using managed identities, OAuth, and API keys.
 * Build AI agent endpoints and integrate LLM models with enterprise data and workflows.

DevOps, CI/CD, Automation

 * Build CI/CD pipelines using:
 * Azure DevOps
 * GitHub Actions
 * Automate infrastructure deployments using:
 * Bicep, Terraform, ARM, or Azure CLI
 * Manage versioning, deployment slots, and staged rollouts.

Security & Governance

 * Implement enterprise-grade security controls:
 * VNET integration
 * Private endpoints
 * Identity and Access Management (Azure AD / Entra ID)
 * Secrets management via Key Vault
 * Maintain compliance with corporate security, audit, and logging requirements.

Observability & Operations

 * Configure monitoring, dashboards, and alerting through:
 * Application Insights
 * Log Analytics
 * Azure Monitor
 * Diagnose production issues across the full stack:
 * Network routing
 * SSL certificate failures
 * App Service performance
 * SQL queries & connection health
 * Performance tuning and cost optimization across compute, storage, and AI services.


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