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Hire Azure Developers

Azure Development from Industrial-Grade Production Work

Oil and gas AI platforms and multi-cloud fintech infrastructure run on Azure we built. Bring that experience to your cloud estate, in your hours.

When to Hire

When Teams Bring in Azure Developers

Azure projects inherit enterprise constraints: compliance, hybrid networks, and an estate of .NET that has to keep running. Generic cloud resumes rarely survive contact with that.

Our Azure work comes from exactly that world, including AI platforms running on Azure in production. Engineers join your team in your hours. AI assistants speed their IaC and automation work daily, while the architecture and cost calls stay human.

You contract a company, not a person. The seat is vetted, managed, and covered.

Cloud estate to modernize

.NET and data workloads moving to Azure.

AI on Azure

Azure OpenAI Service and ML pipelines in production.

Hybrid and compliance

Networks and policies that auditors accept.

Azure spend creeping

Reservations and rightsizing from usage.

Skills and Use Cases

The Skills Your Azure Project Requires

Microsoft Azure is a cloud computing platform provided by Microsoft, offering a wide range of services for building, deploying, and managing applications and services through Microsoft's global network.

Our Azure Developers always have

App Service, Functions, and AKS in production

Azure OpenAI Service and ML pipelines

Entra ID, networking, and policy

Azure DevOps and IaC with Bicep or Terraform

Azure SQL and Cosmos DB data layers

Where Teams Use Azure

.NET workloads modernized on Azure

AI features on Azure OpenAI Service

Hybrid and compliance-bound deployments

Azure cost and governance cleanups

Related Technologies:

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How We Hire

How We Vet Azure Engineers

Azure work inherits enterprise constraints. We score for engineers who have lived inside them.

dimension
Strong signal
Red flag
Azure depth
App Service, Functions, and AKS operated in production
Portal-deep only
.NET pairing
.NET workloads on Azure handled end to end
Cloud and code living in separate heads
Governance
Policy, Entra ID, and landing zones set up deliberately
Subscriptions used as a junk drawer
AI on Azure
Azure OpenAI Service shipped to real users
Played with the playground
Cost
Reservations and rightsizing from usage data
Has never met the invoice

Our favorite filter: What did your last Azure cost review find?

Our Experience

Azure Work We Have Shipped

Azure carries our industrial AI work. The alarm-management and injection-optimization platforms we built for two oil and gas operators run on Azure with Airflow and Jupyter behind them. Stovell AI's fintech infrastructure spans Azure alongside AWS and Google Cloud. The case studies below show all three.

Case studies from our Azure engagements

Stovell AI

Fintech AI Development: Predictive Analytics for Alpha Generation

Read the Case Study
We’ve been working with Azumo since our founding. Their team has been great to work with. We built out a massive AI based data platform with their help. They can handle just about anything.

Jim Stovell · Founder, CEO, Stovell AI Systems

Benefits of Azumo

Why Azumo for Your Software Development

Ship faster with engineers who build with and for AI. We have delivered production ready solutions since 2016.

JP Lorandi, Azumo's CTO wearing a black collared shirt against a white background.
"Our engineers build production AI every day for our clients and our own primitives. That's the difference between a team that's used AI and one that ships it.”

Juan Pablo Lorandi
CTO, Azumo · 25+ years of software architecture experience.
Certified Claude Architect

Build With AI

Engineers develop with AI daily, compressing delivery cycles without cutting corners.

Senior by Default

We hire for seniority and test for it before anyone joins your team.

Scale on Demand

Grow or shrink the team as your roadmap changes — no renegotiation drama.

Time-Zone Aligned

Real-time collaboration across your full working day, from Latin America.

Engagement That Fits

Dedicated team, staff augmentation, or full project build. You pick the model.

Frequently Asked Questions

  • .NET modernization onto Azure, AI features on Azure OpenAI Service, hybrid and compliance-bound deployments, and cost governance. Project delivery or embedded engineers.

  • Yes. The alarm-management and injection-optimization platforms we built for two oil and gas operators run on Azure today; both case studies are on this page.

  • By design. Most of our Azure engagements pair cloud and .NET in the same engineers, which is the difference between a deployment and an architecture.

  • Yes: policy, Entra ID, landing zones, and the audit evidence to match. We are SOC 2 certified ourselves and our industrial clients live under stricter regimes than most.

  • If your estate is Microsoft, Azure usually wins on integration; otherwise it is a workload question. We run production systems on both and will show the comparison rather than assert it.

  • Usually: reservations, rightsizing, and cleanup of orphaned resources do most of the work. We commit to numbers only after reading your cost analysis.

  • Past the portal. The rubric on this page scores production operations, .NET pairing, governance setup, shipped Azure OpenAI work, and cost ownership.

  • Fully. Latin America-based engineers on US business hours, including releases and incident response.