Interviews/Application Development/Design Engineer

Hire Design Engineers
who actually ship product UI that designers and engineers both trust

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.

Design systemsReact · TailwindFigma → codeA11yLive 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 design engineer reads a Figma file with the same fluency as a TypeScript file. The good ones build components that compose, ship motion that respects reduced-motion, and treat the design system as a real product. EasyEnv hands the candidate a real Figma spec and a component that is close but wrong.

Inside a live interview

What you see when they work.

Real component library, real audits, 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@design-eng-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 Design Engineer is hard.

Design engineer fluency hides between disciplines.

Component API design is taste. CVs cannot show it.

Motion and a11y discipline are rare.

Tokens, theming and dark mode are routinely skipped.

The fit test

What we measure for a Design Engineer.

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

Component API

A component with 14 props. They consolidate or split.

Accessibility

A combobox that fails keyboard nav. They fix.

Token system

A theme with hard-coded colors. They tokenise.

Motion

A transition that ignores prefers-reduced-motion. They wire.

Figma → code accuracy

A component that drifts from Figma. They reconcile.

AI collaboration

Allow AI for boilerplate and grade whether they audited a11y after.

The stack we put in front of them.

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

ReactTailwind CSSRadix UIshadcn/uiFramer MotionCSS variablesFigmaTokens StudioStorybookChromaticPlaywrightaxe-corePostCSScvaTypeScript

Sample challenges

What a Design 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 dropdown that ignored keyboards

Scenario

A custom combobox without ARIA roles or keyboard nav. axe lights up.

What you learn

Whether they reach for Radix or wire the right roles and behaviors.

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 div-only UI that fails a screen reader. EasyEnv records prompts so you see whether the candidate ran axe 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 Design 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 Design Engineer, answered.

Yes. A Figma file with a token library can be linked.

Yes. Storybook + Chromatic visual diffs are pre-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/Application Development/Design Engineer

Hire Design Engineers
who actually ship product UI that designers and engineers both trust

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.

Design systemsReact · TailwindFigma → codeA11yLive 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 component library, real audits, 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@design-eng-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 Design Engineer is hard.

Design engineer fluency hides between disciplines.

Component API design is taste. CVs cannot show it.

Motion and a11y discipline are rare.

Tokens, theming and dark mode are routinely skipped.

The fit test

What we measure for a Design Engineer.

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

Component API

A component with 14 props. They consolidate or split.

Accessibility

A combobox that fails keyboard nav. They fix.

Token system

A theme with hard-coded colors. They tokenise.

Motion

A transition that ignores prefers-reduced-motion. They wire.

Figma → code accuracy

A component that drifts from Figma. They reconcile.

AI collaboration

Allow AI for boilerplate and grade whether they audited a11y after.

The stack we put in front of them.

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

ReactTailwind CSSRadix UIshadcn/uiFramer MotionCSS variablesFigmaTokens StudioStorybookChromaticPlaywrightaxe-corePostCSScvaTypeScript

Sample challenges

What a Design 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 dropdown that ignored keyboards

Scenario

A custom combobox without ARIA roles or keyboard nav. axe lights up.

What you learn

Whether they reach for Radix or wire the right roles and behaviors.

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 div-only UI that fails a screen reader. EasyEnv records prompts so you see whether the candidate ran axe 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 Design 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 Design Engineer, answered.

Yes. A Figma file with a token library can be linked.

Yes. Storybook + Chromatic visual diffs are pre-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 a Design Engineer | Component · System Interviews | EasyEnv | EasyEnv

Hire Design Engineerswho actually ship product UI that designers and engineers both trust

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 Design Engineer is hard.

What we measure for a Design Engineer.

Component API

Accessibility

Token system

Motion

Figma → code accuracy

AI collaboration

The stack we put in front of them.

What a Design Engineer interview looks like.

The dropdown that ignored keyboards

Score the engineer, and how they work with AI.

Ready to hire a Design Engineer who ships?

Hiring a Design Engineer, answered.

Hire Design Engineerswho actually ship product UI that designers and engineers both trust

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 Design Engineer is hard.

What we measure for a Design Engineer.

Component API

Accessibility

Token system

Motion

Figma → code accuracy

AI collaboration

The stack we put in front of them.

What a Design Engineer interview looks like.

The dropdown that ignored keyboards

Score the engineer, and how they work with AI.

Ready to hire a Design Engineer who ships?

Hiring a Design Engineer, answered.

Hire Design Engineers
who actually ship product UI that designers and engineers both trust

Hire Design Engineers
who actually ship product UI that designers and engineers both trust