Azure Full Stack Engineer

HERO TALENT SOLUTIONS LLC
Columbia, MD, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$104,000.0 - $124,800.0
Working hours
Regular working hours
Job source

Tech stack

.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
+52 more
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

Job 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.

Requirements

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.

Apply for this position

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