Azure development services from senior .NET and cloud teams
Senior Azure engineers who build .NET applications, container platforms, integrations, data and AI workloads in your Azure tenant, with Bicep or Terraform and Entra ID done right.
By the Ryz Labs team · Updated October 2026
Ryz Azure development teams build applications and platforms on Microsoft Azure: .NET services on App Service, Container Apps or AKS, Azure Functions and Logic Apps integrations, Azure SQL and Cosmos DB data layers, and AI workloads on Azure OpenAI, all in your tenant and defined in Bicep or Terraform. Our engineers come from the top 1% of the people we interview and work on US business hours with same-day code review. They know the Microsoft estate that usually surrounds Azure: Entra ID, Microsoft 365, Dynamics and Power Platform.
What we build
- .NET applications on Azure: ASP.NET Core APIs and web apps on App Service or Azure Container Apps, with deployment slots for zero-downtime releases.
- AKS platforms: Azure Kubernetes Service clusters with workload identity, Azure CNI networking, KEDA autoscaling and GitOps through Flux or Argo CD.
- Serverless and integration: Azure Functions, Durable Functions, Logic Apps, Service Bus and Event Grid connecting line-of-business systems, SaaS tools and on-premises applications.
- Data layers: Azure SQL, SQL Managed Instance, Cosmos DB and Azure Database for PostgreSQL, designed for your access patterns and recovery targets.
- Analytics: Microsoft Fabric, Azure Data Factory, Synapse and Azure Databricks pipelines feeding Power BI. See our data engineering services for the data side.
- AI workloads on Azure: applications on Azure OpenAI with Azure AI Search for retrieval, content filtering and private networking, built by engineers who know Azure OpenAI in depth.
- Identity and access: Microsoft Entra ID app registrations, managed identities, conditional access integration and B2C or External ID for customer sign-in.
- Landing zones and governance: management groups, Azure Policy, hub-and-spoke networking, Private Link and Defender for Cloud, built from the Cloud Adoption Framework.
How an engagement works
Talk. We review what you are building, your tenant and subscription layout, licensing, identity setup, and whether you standardize on Bicep, Terraform or ARM templates.
Match. We propose engineers whose Azure work fits yours: a .NET and App Service team differs from an AKS platform team or a Fabric and Data Factory data team.
Join. Engineers get access through Entra ID with Privileged Identity Management where you use it, work in Azure DevOps or GitHub, and join standups and demos.
Grow. Add data, security or AI engineers as needs grow, or hand a documented environment to your internal team.
In week 1, the team typically reviews subscriptions, policies, networking and existing pipelines, and agrees on the target architecture. By month 1, the core infrastructure is in Bicep or Terraform and the first services deploy to a non-production subscription through CI. By month 3, the usual picture is production workloads with Azure Monitor alerts, Application Insights tracing, cost budgets and Defender for Cloud recommendations worked through.
The stack our teams work in
| Layer | Tools we use | Notes |
|---|
| Compute | App Service, Azure Container Apps, AKS, Azure Functions, Virtual Machines | Platform services first; VMs where software requires them. |
| Languages | C# and .NET 8+, TypeScript, Python, Java | .NET is the most common, but not the only, Azure stack. |
| Data | Azure SQL, SQL Managed Instance, Cosmos DB, PostgreSQL, Blob Storage, Redis | Geo-replication and backups set to your recovery targets. |
| Integration | Service Bus, Event Grid, Event Hubs, Logic Apps, API Management | Dead-lettering and retries on every queue. |
| Analytics and AI | Microsoft Fabric, Data Factory, Synapse, Databricks, Azure OpenAI, Azure AI Search | Private endpoints for data and model access. |
| Infrastructure and CI/CD | Bicep, Terraform, Azure DevOps Pipelines, GitHub Actions | Workload identity federation instead of stored secrets. |
| Security and monitoring | Entra ID, Key Vault, Azure Policy, Defender for Cloud, Azure Monitor, Application Insights | Policy-as-code and centralized logs. |
How we keep Azure environments secure and manageable
Azure estates often grow by clicking in the portal: subscriptions without structure, secrets in app settings, public endpoints on databases, and costs nobody owns. Our teams build to the Azure Well-Architected Framework and address these directly:
- Managed identities everywhere. Apps reach SQL, Storage, Key Vault and Service Bus through managed identities, so there are no connection strings with passwords to rotate or leak.
- Private networking. Private Endpoints for databases, storage and Azure OpenAI, with public network access turned off where the workload allows it.
- Azure Policy as guardrails. Policies deny public IPs on data services, require tags and restrict regions and SKUs, applied at the management group level.
- Infrastructure as code with what-if. Bicep what-if or Terraform plan output on every pull request, so reviewers see exactly what will change before it changes.
- Safe releases. Deployment slots with warm-up and swap on App Service, revisions with traffic splitting on Container Apps, and rollback that takes one command.
- Observability. Application Insights distributed tracing across Functions, APIs and queues, with alerts on failure rates and dependency latency.
- Cost management. Budgets per subscription, reserved instances or savings plans where usage is steady, and autoscale rules tuned to traffic.
- Compliance experience. Engineers have experience working within SOC 2, HIPAA and PCI DSS requirements and use Defender for Cloud regulatory compliance views to track controls.
Team shapes and cost
Typical Ryz cost is $7,000 to $15,000 per engineer per month. Mid-level engineers are $7,000 to $10,000, senior engineers are $10,000 to $15,000, and leads are $15,000 or more, quoted per team.
- Azure pair: 2 senior Azure or .NET engineers × $10,000 to $15,000 = $20,000 to $30,000 per month. Fits an integration project or a new service.
- Build team: a tech lead ($15,000+) plus 3 senior engineers ($30,000 to $45,000) = from $45,000 per month. Fits a new application or a move to AKS or Container Apps.
- Platform and data team: a lead plus 5 senior engineers across .NET, cloud and data: $15,000+ plus $50,000 to $75,000 = from $65,000 per month.
Every quote is scoped per team. You get a plan, a price and the names of the people before you start.
Dedicated team or staff augmentation?
A dedicated development team fits a defined Azure build, such as a new application, a landing zone or a platform migration, owned from design to production. Staff augmentation fits when your team owns the architecture and needs senior engineers who join your sprints and report to your leads. See our hire Azure developers and hire .NET developers pages for profiles.
When Ryz isn't the right fit
If you need Microsoft licensing, a Cloud Solution Provider billing relationship or a 24/7 managed service for your tenant, a Microsoft partner MSP fits better. If your team works on European or Asian hours, a global network will match your schedule. If you only need a few hours of help, a freelance marketplace is quicker.
Related
FAQ
Do your Azure engineers only work in .NET?
No. .NET is the most common stack on Azure and most of our Azure engineers know it well, but our teams also build on Azure with TypeScript, Python and Java.
How much do Azure development services cost?
Typical cost is $7,000 to $15,000 per engineer per month. Two senior engineers run $20,000 to $30,000 per month, and a lead plus three seniors starts at $45,000 per month. Azure consumption is billed by Microsoft separately.
How fast can the team start?
After the scoping call we propose a team with names. Most of the timeline depends on scope and on your onboarding, especially Entra ID accounts and subscription access.
Bicep or Terraform?
Bicep fits Azure-only estates and gets new Azure features first. Terraform fits multi-cloud teams and those already using it. We follow your standard.
Can you build on Azure OpenAI?
Yes. Our teams build on Azure OpenAI with Azure AI Search, private networking and content filters in your tenant. For production AI systems, an AI pod team owns the build end to end.
Questions we didn't answer? Email info@ryzlabs.com.