Cloud-native engineering · Microsoft platform
Azure and .NET cloud architecture
Architecting cloud-native products and modernization paths with Azure, .NET, event-driven services, and security-by-design.
Direct answer
Amer Jaber brings 18+ years of Microsoft-stack engineering experience, with current depth in Azure and .NET architecture for SaaS, workflow platforms, integrations, modernization, and applied AI products.
Focus
What this means
in practice.
Cloud-native product architecture
Shape services, data flows, integrations, and deployment boundaries around the product and operational problem.
Event-driven integration
Use Functions, APIs, queues, and durable data services to turn signals into dependable business workflows.
Modernization strategy
Balance immediate product stability with a credible path from legacy constraints to cloud-first architecture.
Security and operability
Design delivery, monitoring, secrets management, and operational reliability as architectural concerns from the start.
Evidence
Claims connected
to delivery.
Healthcare workflow on Azure
Led cloud-native workflow engineering that integrated external AI output into traceable healthcare processes.
Read the healthcare architecture caseCloud-first modernization direction
Used Blazor WebAssembly, Azure Functions, Cosmos DB, and Key Vault to shape a modern path alongside a live legacy product.
Read the modernization caseEvent-driven applied AI
Connected computer-vision signals with Azure services and downstream customer workflows.
Read the event-driven AI caseWhere it helps
Problems this
experience addresses.
- Cloud-native SaaS and workflow platforms on Microsoft Azure
- Legacy .NET products moving toward cloud-first architecture
- Event-driven systems connecting AI signals to business action
- Teams balancing architecture, delivery, security, and operability
Related work
See the capability
inside a system.
Related disciplines
- Microsoft Azure
- .NET and C#
- Azure Functions
- API Management
- Cosmos DB
- Azure SQL
- Azure Key Vault
- AKS