Azure Cloud Development & Staff Augmentation
Senior Azure architects and engineers for cloud-native development, migrations, and enterprise integrations. Deep Microsoft ecosystem expertise.
What We Do With Microsoft Azure Services
Senior Azure architects and engineers for cloud-native development, migrations, and enterprise integrations. Deep Microsoft ecosystem expertise. Our engineers don't just know the framework, they've shipped production systems with it at scale.
Technologies & Skills
Common Use Cases
- → Microsoft 365 & SharePoint integrations
- → Azure Active Directory / SSO implementations
- → Hybrid cloud architectures
- → Compliance-sensitive cloud deployments
- → Azure DevOps CI/CD pipelines
Related Portfolio Work
Review Cidersoft's published delivery work and discuss which experience is relevant to your architecture and team.
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Microsoft Ecosystem Integration
Azure engineers seamlessly integrate with Active Directory, Office 365, Dynamics 365, and SQL Server. They design hybrid architectures connecting on-premises to cloud.
App Service and Functions Expertise
Proficiency with App Service for web apps, Function Apps for serverless, and Logic Apps for workflow automation means rapid deployment of enterprise solutions.
Database and Storage Strategy
Senior Azure engineers design solutions using SQL Database, Cosmos DB, and Synapse Analytics. They optimize for performance, compliance, and cost.
Enterprise Governance
Understanding of Azure governance, policy, compliance (HIPAA, GDPR), and audit trails ensures systems meet enterprise security and regulatory requirements.
How to Hire Azure Engineers
From first call to productive engineer in your codebase, typically under 2 weeks.
Tell Us What You Need
Share your Microsoft Azure Services stack requirements, project goals, and team culture. We match on technical depth, not just resume keywords.
Review Pre-Vetted Candidates
Within 1 week, receive profiles of senior Microsoft Azure Services engineers who've shipped production code. Interview your top picks.
Start Building
Your engineer integrates into your team, attends standups, and starts contributing to your codebase. 3-month replacement guarantee included.
AI in Your Microsoft Azure Services Stack
We integrate LLMs, AI agents, and ML pipelines directly into your Microsoft Azure Services architecture, for capabilities that actually move the needle.
AI + Microsoft Azure Services
Azure OpenAI Service brings GPT-4 and other foundation models directly into the Microsoft cloud. Our Azure engineers build enterprise AI solutions using Azure OpenAI, Cognitive Services, Azure AI Search, and Semantic Kernel , with enterprise-grade security and compliance.
🤖 LLM Integration
Connect your Microsoft Azure Services stack to OpenAI, Anthropic, or open-source models for intelligent features.
📊 Data Intelligence
Surface insights, automate decisions, and predict outcomes using ML models built into your existing architecture.
⚡ AI Automation
Eliminate manual workflows with AI agents that handle complex, multi-step processes reliably and at scale.
Why Choose Us for Microsoft Azure Services
Experience Matched to the Work
We evaluate the architecture, delivery stage, and ownership required before recommending Microsoft Azure Services engineers.
Flexible Team Structure
Start with one embedded engineer or assemble a broader delivery team around the technical scope and project roadmap.
AI Where It Adds Value
When AI supports a real workflow, our engineers can connect Microsoft Azure Services applications to models, data pipelines, evaluation, and production controls.
See Microsoft Azure Services Engineers
Use our profile generator to describe the experience your project needs, then discuss available engineers with our team.
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Hire Azure Engineers
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