Interviews/Specialty Stacks/Terraform Engineer

Hire Terraform Engineers
who actually ship IaC that the team can plan

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.

TerraformOpenTofuModules · stateAWS · GCP · AzureLive 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 Terraform engineer reasons about state before they touch a resource. The good ones write modules that compose, import drift instead of fighting it, and never apply without a plan they read out loud. EasyEnv hands the candidate a real Terraform workspace with drift and a deadline.

Inside a live interview

What you see when they work.

Real Terraform, real AWS sandbox, 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@terraform-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 Terraform Engineer is hard.

Terraform fluency hides under "I wrote some HCL".

State management is where careers go wrong.

Module design is taste. Few candidates can show it.

Cloud breadth is real. AWS depth does not equal GCP fluency.

The fit test

What we measure for a Terraform Engineer.

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

Drift reconciliation

A resource changed outside Terraform. They import without destruction.

Module composition

A 3000-line root module. They split into purposeful modules.

Sensitive state

A state file with secrets. They move to a remote backend with encryption.

CI / CD for Terraform

A plan that runs locally only. They wire CI with Atlantis or terraform-cloud.

Provider quirks

A provider with quirky behavior. They read the issue tracker.

AI collaboration

Allow AI for module scaffolding and grade whether they ran terraform plan before apply.

The stack we put in front of them.

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

TerraformOpenTofuAWSGCPAzureTerragruntAtlantisTerraform CloudtflinttfseccheckovSentinelTestKitchenTerrateststate backends

Sample challenges

What a Terraform 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 instance Terraform did not make

Scenario

A live cloud resource that does not exist in state. The candidate has both.

What you learn

Whether they import and validate, not blow away.

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 Terraform that compiles and reverts production. EasyEnv records prompts so you see whether the candidate ran terraform plan before terraform apply 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 Terraform 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 Terraform Engineer, answered.

Enterprise plans federate to a scoped sandbox account.

Yes. Either can be wired with a sandbox project.

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/Terraform Engineer

Hire Terraform Engineers
who actually ship IaC that the team can plan

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.

TerraformOpenTofuModules · stateAWS · GCP · AzureLive 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 AWS sandbox, 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@terraform-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 Terraform Engineer is hard.

Terraform fluency hides under "I wrote some HCL".

State management is where careers go wrong.

Module design is taste. Few candidates can show it.

Cloud breadth is real. AWS depth does not equal GCP fluency.

The fit test

What we measure for a Terraform Engineer.

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

Drift reconciliation

A resource changed outside Terraform. They import without destruction.

Module composition

A 3000-line root module. They split into purposeful modules.

Sensitive state

A state file with secrets. They move to a remote backend with encryption.

CI / CD for Terraform

A plan that runs locally only. They wire CI with Atlantis or terraform-cloud.

Provider quirks

A provider with quirky behavior. They read the issue tracker.

AI collaboration

Allow AI for module scaffolding and grade whether they ran terraform plan before apply.

The stack we put in front of them.

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

TerraformOpenTofuAWSGCPAzureTerragruntAtlantisTerraform CloudtflinttfseccheckovSentinelTestKitchenTerrateststate backends

Sample challenges

What a Terraform 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 instance Terraform did not make

Scenario

A live cloud resource that does not exist in state. The candidate has both.

What you learn

Whether they import and validate, not blow away.

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 Terraform that compiles and reverts production. EasyEnv records prompts so you see whether the candidate ran terraform plan before terraform apply 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 Terraform 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 Terraform Engineer, answered.

Enterprise plans federate to a scoped sandbox account.

Yes. Either can be wired with a sandbox project.

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 a Terraform Engineer | Module · State Interviews | EasyEnv | EasyEnv

Hire Terraform Engineerswho actually ship IaC that the team can plan

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 Terraform Engineer is hard.

What we measure for a Terraform Engineer.

Drift reconciliation

Module composition

Sensitive state

CI / CD for Terraform

Provider quirks

AI collaboration

The stack we put in front of them.

What a Terraform Engineer interview looks like.

The instance Terraform did not make

Score the engineer, and how they work with AI.

Ready to hire a Terraform Engineer who ships?

Hiring a Terraform Engineer, answered.

Hire Terraform Engineerswho actually ship IaC that the team can plan

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 Terraform Engineer is hard.

What we measure for a Terraform Engineer.

Drift reconciliation

Module composition

Sensitive state

CI / CD for Terraform

Provider quirks

AI collaboration

The stack we put in front of them.

What a Terraform Engineer interview looks like.

The instance Terraform did not make

Score the engineer, and how they work with AI.

Ready to hire a Terraform Engineer who ships?

Hiring a Terraform Engineer, answered.

Hire Terraform Engineers
who actually ship IaC that the team can plan

Hire Terraform Engineers
who actually ship IaC that the team can plan