Interviews/Infrastructure & Reliability/Infrastructure Engineer

Hire Infrastructure Engineers
who actually build the floor under everything

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.

TerraformAnsibleAWS · GCP · AzureKubernetesLive 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

Infrastructure engineers shape the floor your product stands on. The good ones think about cost, blast radius and on-call rotation before they think about the next shiny tool. EasyEnv gives the candidate a real Terraform state, a real cloud sandbox and a problem they have to reason about before they touch anything.

Inside a live interview

What you see when they work.

Real Terraform, real cloud, every keystroke 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@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 Infrastructure Engineer is hard.

Cloud breadth is huge. Knowing AWS deeply does not mean knowing GCP, and CVs blur the difference.

Infra mistakes are silent until they are catastrophic. You need to see how they think about reversibility.

Tools change fast. Terraform, Pulumi, Crossplane, CDK. The fundamentals matter more than the syntax.

Cost awareness is a soft skill. The interview has to draw it out, not assume it from a CV bullet.

The fit test

What we measure for a Infrastructure Engineer.

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

Terraform plan, plan, plan

A repo with drift, missing tags and a couple of unsafe resources. They explain what they would touch first, and why.

Cloud API fluency

Real AWS, GCP or Azure credentials scoped to a sandbox account. They use the CLI or SDK, not a console.

Blast radius reasoning

A change that looks one-line on the surface but touches 14 resources. We listen for "what could this break".

Cost and capacity

A VM family and storage class proposed for a workload. They have to argue for it or against it.

Bash and YAML under load

A loop that misses an edge case, a YAML anchor that gets reused wrongly. Real files, real fix.

AI collaboration

Allow Claude or Copilot and grade whether they verify what an LLM produces before applying it.

The stack we put in front of them.

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

TerraformPulumiCrossplaneAnsibleAWSGCPAzureKubernetesHelmPackerDockerVaultConsulPostgreSQLRedissystemdbash

Sample challenges

What a Infrastructure 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

State versus reality

Scenario

Terraform state and real cloud resources disagree in two places. plan and apply both work, but break things differently.

What you learn

Whether they patch state instead of editing prod, and whether they explain it.

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.

In infrastructure, AI gets dangerous quickly. A confident apply on a hallucinated resource can rotate IAM roles you needed. EasyEnv lets you allow AI, then watch whether the candidate ran a plan before they ran an apply, and whether they read what came back.

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 Infrastructure 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 Infrastructure Engineer, answered.

Yes. The workspace can be pre-loaded with any IaC tool and a sandbox cloud project.

Yes, on enterprise plans. Otherwise we provide a sandbox account scoped to the interview only.

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/Infrastructure & Reliability/Infrastructure Engineer

Hire Infrastructure Engineers
who actually build the floor under everything

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.

TerraformAnsibleAWS · GCP · AzureKubernetesLive 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 Terraform, real cloud, every keystroke 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@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 Infrastructure Engineer is hard.

Cloud breadth is huge. Knowing AWS deeply does not mean knowing GCP, and CVs blur the difference.

Infra mistakes are silent until they are catastrophic. You need to see how they think about reversibility.

Tools change fast. Terraform, Pulumi, Crossplane, CDK. The fundamentals matter more than the syntax.

Cost awareness is a soft skill. The interview has to draw it out, not assume it from a CV bullet.

The fit test

What we measure for a Infrastructure Engineer.

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

Terraform plan, plan, plan

A repo with drift, missing tags and a couple of unsafe resources. They explain what they would touch first, and why.

Cloud API fluency

Real AWS, GCP or Azure credentials scoped to a sandbox account. They use the CLI or SDK, not a console.

Blast radius reasoning

A change that looks one-line on the surface but touches 14 resources. We listen for "what could this break".

Cost and capacity

A VM family and storage class proposed for a workload. They have to argue for it or against it.

Bash and YAML under load

A loop that misses an edge case, a YAML anchor that gets reused wrongly. Real files, real fix.

AI collaboration

Allow Claude or Copilot and grade whether they verify what an LLM produces before applying it.

The stack we put in front of them.

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

TerraformPulumiCrossplaneAnsibleAWSGCPAzureKubernetesHelmPackerDockerVaultConsulPostgreSQLRedissystemdbash

Sample challenges

What a Infrastructure 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

State versus reality

Scenario

Terraform state and real cloud resources disagree in two places. plan and apply both work, but break things differently.

What you learn

Whether they patch state instead of editing prod, and whether they explain it.

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 Infrastructure 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 Infrastructure Engineer, answered.

Yes. The workspace can be pre-loaded with any IaC tool and a sandbox cloud project.

Yes, on enterprise plans. Otherwise we provide a sandbox account scoped to the interview only.

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 Infrastructure Engineer | EasyEnv | EasyEnv

Hire Infrastructure Engineerswho actually build the floor under everything

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 Infrastructure Engineer is hard.

What we measure for a Infrastructure Engineer.

Terraform plan, plan, plan

Cloud API fluency

Blast radius reasoning

Cost and capacity

Bash and YAML under load

AI collaboration

The stack we put in front of them.

What a Infrastructure Engineer interview looks like.

State versus reality

Score the engineer, and how they work with AI.

Ready to hire a Infrastructure Engineer who ships?

Hiring a Infrastructure Engineer, answered.

Hire Infrastructure Engineerswho actually build the floor under everything

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 Infrastructure Engineer is hard.

What we measure for a Infrastructure Engineer.

Terraform plan, plan, plan

Cloud API fluency

Blast radius reasoning

Cost and capacity

Bash and YAML under load

AI collaboration

The stack we put in front of them.

What a Infrastructure Engineer interview looks like.

State versus reality

Score the engineer, and how they work with AI.

Ready to hire a Infrastructure Engineer who ships?

Hiring a Infrastructure Engineer, answered.

Hire Infrastructure Engineers
who actually build the floor under everything

Hire Infrastructure Engineers
who actually build the floor under everything