Interviews/Specialty Stacks/Azure Engineer

Hire Azure Engineers
who actually ship Azure that the team can support

With EasyEnv we build a fit test for the role. Use it to cut the noise at the top of the funnel, or to go deep on the candidates who matter.

You can even evaluate how this person works with AI. So you hire the engineer who can ship, not the one who looks good in a slide.

AzureEntra IDAKSBicep · TerraformLive or take-home

Request a Demo Create a Free Account

Real Linux VM

Not a sandbox

systemd, kernel, full toolchain

Browser-based

Zero install for candidates

One link and they are in

Auto-graded

Pass / fail checks per challenge

Plus the full session replay

A great Azure engineer threads Entra ID, networking and the resource graph into the same mental model. The good ones write Bicep that scales, scope RBAC to actions, and reach for Azure Policy without prompting. EasyEnv hands the candidate a real Azure subscription with a misconfigured private endpoint and a cost ticket.

Inside a live interview

What you see when they work.

Real Azure subscription, real RBAC, every command recorded.

billing-api

AMS

Billing-api

src

billing.py

auth.py

models.py

tests

test_billing.pyM

test_auth.py

pyproject.toml

README.md

Pybilling.py

from decimal import Decimal

def calculate_total(items: list[dict]) -> Decimal:

# Sum line totals using Decimal for currency precision

total = Decimal("0")

for item in items:

total += Decimal(str(item["price"])) * item["qty"]

return total

candidate@azure-workspace:~

alice@dev:~/billing-api$

● mainPython 3.12

Claude · ready

Claude

You

Refactor calculate_total to use Decimal for currency math, and add a test.

Claude

Ask Claude...

Mike

Sam

How it works

Three steps. Zero infra to maintain.

Pick the fit test

Use a ready-made challenge or ask us to build one for your stack. Live, take-home, or both.

Send one link

The candidate clicks. A full Linux workspace boots in their browser. No installs, no VPN, no zoom-share.

Review at 2x

Replay the session, read the auto-graded checks, and decide. Most reviews take under five minutes.

The problem

Why hiring a Azure Engineer is hard.

Azure breadth is wide. Naming changes constantly.

Entra ID confuses anyone coming from AWS IAM.

AKS quirks separate engineers from beginners.

Bicep versus Terraform versus ARM is a real choice.

The fit test

What we measure for a Azure Engineer.

Every area runs inside a real production-like workspace. The candidate works in a browser, the session records itself.

Entra ID and RBAC

A user with Owner where Contributor was enough. They scope.

Networking and private endpoints

An App Service that cannot reach a SQL DB. They diagnose.

AKS lifecycle

A cluster that drifts from declared state. They reconcile.

Cost

A subscription that doubled its bill. They isolate.

Bicep / ARM

A Bicep template with sprawling parameters. They restructure.

AI collaboration

Allow AI for policy and grade whether they ran az deployment what-if after.

The stack we put in front of them.

Real tools, pre-installed, accessible from the workspace terminal.

AzureEntra IDAKSApp ServiceFunctionsCosmos DBBicepARMAzure CLIAzure DevOpsGitHub ActionsAzure PolicyDefenderLog AnalyticsAzure Monitor

Sample challenges

What a Azure Engineer interview looks like.

Pick from our library or ask us to build a challenge for your stack. Each one is a real workspace, not a snippet.

Challenge 01

The Contributor who got Owner

Scenario

A subscription where every developer is Owner. The candidate has a sandbox.

What you learn

Whether they scope at the resource group level.

In the workspace

$ ls challenges/

workspace, runbook.md, README.md

candidate has:

· a real Linux box in the browser
· kubectl, docker, terraform, jq, yq
· cluster, repo and cloud creds pre-wired
· auto-checks running in the background

interviewer sees:

· every keystroke + every command
· terminal + screen recording
· auto-graded pass/fail per check

AI in the loop

Score the engineer, and how they work with AI.

AI writes Azure policy that grants too much because it does not know your org. EasyEnv records prompts so you see whether the candidate validated with az deployment what-if after the LLM-suggested change.

Allow or block AI per question, not per interview

Full prompt and response history replayed in the review

Score "verifies AI output" as a separate signal

Ready to hire a Azure Engineer who ships?

Set up your first interview in under an hour. We will help you build a fit test for this role on your stack.

Request a Demo Create a Free Account

Role FAQ

Hiring a Azure Engineer, answered.

Enterprise plans can federate to a scoped sandbox subscription.

Yes. A sandbox AKS cluster with App Routing can be wired.

No. The workspace runs in their browser. Terminal, editor, ports and dashboards are all served from the EasyEnv workspace, so candidate setup is zero.

Each challenge has automated checks (did the service come back, did the test pass, did the right log message appear) plus a recording your team can replay. Most reviews take under five minutes.

Yes. AI access is a per-interview setting. Block it for fundamentals, then allow it later in the loop to assess AI collaboration separately.

Interviews/Specialty Stacks/Azure Engineer

Hire Azure Engineers
who actually ship Azure that the team can support

With EasyEnv we build a fit test for the role. Use it to cut the noise at the top of the funnel, or to go deep on the candidates who matter.

You can even evaluate how this person works with AI. So you hire the engineer who can ship, not the one who looks good in a slide.

AzureEntra IDAKSBicep · TerraformLive or take-home

Request a Demo Create a Free Account

Real Linux VM

Not a sandbox

systemd, kernel, full toolchain

Browser-based

Zero install for candidates

One link and they are in

Auto-graded

Pass / fail checks per challenge

Plus the full session replay

Inside a live interview

What you see when they work.

Real Azure subscription, real RBAC, every command recorded.

billing-api

AMS

Billing-api

src

billing.py

auth.py

models.py

tests

test_billing.pyM

test_auth.py

pyproject.toml

README.md

Pybilling.py

from decimal import Decimal

def calculate_total(items: list[dict]) -> Decimal:

# Sum line totals using Decimal for currency precision

total = Decimal("0")

for item in items:

total += Decimal(str(item["price"])) * item["qty"]

return total

candidate@azure-workspace:~

alice@dev:~/billing-api$

● mainPython 3.12

Claude · ready

Claude

You

Refactor calculate_total to use Decimal for currency math, and add a test.

Claude

Ask Claude...

Mike

Sam

How it works

Three steps. Zero infra to maintain.

Pick the fit test

Use a ready-made challenge or ask us to build one for your stack. Live, take-home, or both.

Send one link

The candidate clicks. A full Linux workspace boots in their browser. No installs, no VPN, no zoom-share.

Review at 2x

Replay the session, read the auto-graded checks, and decide. Most reviews take under five minutes.

The problem

Why hiring a Azure Engineer is hard.

Azure breadth is wide. Naming changes constantly.

Entra ID confuses anyone coming from AWS IAM.

AKS quirks separate engineers from beginners.

Bicep versus Terraform versus ARM is a real choice.

The fit test

What we measure for a Azure Engineer.

Every area runs inside a real production-like workspace. The candidate works in a browser, the session records itself.

Entra ID and RBAC

A user with Owner where Contributor was enough. They scope.

Networking and private endpoints

An App Service that cannot reach a SQL DB. They diagnose.

AKS lifecycle

A cluster that drifts from declared state. They reconcile.

Cost

A subscription that doubled its bill. They isolate.

Bicep / ARM

A Bicep template with sprawling parameters. They restructure.

AI collaboration

Allow AI for policy and grade whether they ran az deployment what-if after.

The stack we put in front of them.

Real tools, pre-installed, accessible from the workspace terminal.

AzureEntra IDAKSApp ServiceFunctionsCosmos DBBicepARMAzure CLIAzure DevOpsGitHub ActionsAzure PolicyDefenderLog AnalyticsAzure Monitor

Sample challenges

What a Azure Engineer interview looks like.

Pick from our library or ask us to build a challenge for your stack. Each one is a real workspace, not a snippet.

Challenge 01

The Contributor who got Owner

Scenario

A subscription where every developer is Owner. The candidate has a sandbox.

What you learn

Whether they scope at the resource group level.

In the workspace

$ ls challenges/

workspace, runbook.md, README.md

candidate has:

· a real Linux box in the browser
· kubectl, docker, terraform, jq, yq
· cluster, repo and cloud creds pre-wired
· auto-checks running in the background

interviewer sees:

· every keystroke + every command
· terminal + screen recording
· auto-graded pass/fail per check

AI in the loop

Score the engineer, and how they work with AI.

Allow or block AI per question, not per interview

Full prompt and response history replayed in the review

Score "verifies AI output" as a separate signal

Ready to hire a Azure Engineer who ships?

Set up your first interview in under an hour. We will help you build a fit test for this role on your stack.

Request a Demo Create a Free Account

Role FAQ

Hiring a Azure Engineer, answered.

Enterprise plans can federate to a scoped sandbox subscription.

Yes. A sandbox AKS cluster with App Routing can be wired.

No. The workspace runs in their browser. Terminal, editor, ports and dashboards are all served from the EasyEnv workspace, so candidate setup is zero.

Each challenge has automated checks (did the service come back, did the test pass, did the right log message appear) plus a recording your team can replay. Most reviews take under five minutes.

Yes. AI access is a per-interview setting. Block it for fundamentals, then allow it later in the loop to assess AI collaboration separately.

How to Hire an Azure Engineer | Entra · AKS · Cost | EasyEnv | EasyEnv

Hire Azure Engineerswho actually ship Azure that the team can support

What you see when they work.

Three steps. Zero infra to maintain.

Pick the fit test

Send one link

Review at 2x

Why hiring a Azure Engineer is hard.

What we measure for a Azure Engineer.

Entra ID and RBAC

Networking and private endpoints

AKS lifecycle

Cost

Bicep / ARM

AI collaboration

The stack we put in front of them.

What a Azure Engineer interview looks like.

The Contributor who got Owner

Score the engineer, and how they work with AI.

Ready to hire a Azure Engineer who ships?

Hiring a Azure Engineer, answered.

Hire Azure Engineerswho actually ship Azure that the team can support

What you see when they work.

Three steps. Zero infra to maintain.

Pick the fit test

Send one link

Review at 2x

Why hiring a Azure Engineer is hard.

What we measure for a Azure Engineer.

Entra ID and RBAC

Networking and private endpoints

AKS lifecycle

Cost

Bicep / ARM

AI collaboration

The stack we put in front of them.

What a Azure Engineer interview looks like.

The Contributor who got Owner

Score the engineer, and how they work with AI.

Ready to hire a Azure Engineer who ships?

Hiring a Azure Engineer, answered.

Hire Azure Engineers
who actually ship Azure that the team can support

Hire Azure Engineers
who actually ship Azure that the team can support