Interviews/Application Development/Accessibility Engineer

Hire Accessibility Engineers
who actually ship UI that real assistive tech can read

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.

WCAG 2.2ARIA · rolesScreen readersaxe · LighthouseLive 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 accessibility engineer treats audits as a starting point and screen readers as the source of truth. The good ones reach for native HTML, scope ARIA only where it earns its keep, and never trust an automated audit without a real-keyboard run. EasyEnv hands the candidate a real product page that fails WCAG and a stakeholder who wants the right fix, not the cheapest.

Inside a live interview

What you see when they work.

Real product page, real screen reader, 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@a11y-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 Accessibility Engineer is hard.

Accessibility fluency hides under "I ran axe once". Real audits matter.

ARIA misuse is more common than no ARIA.

Screen reader testing is hands-on. Few candidates do it daily.

Color, focus and motion intersect with brand. The interview has to find taste.

The fit test

What we measure for a Accessibility Engineer.

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

WCAG fluency

A failing AA criterion. They name the rule before they patch.

Screen reader testing

A flow that fails NVDA. They reproduce.

ARIA discipline

A component with too much ARIA. They strip and let HTML do the work.

Color and contrast

A brand palette that fails AA. They find a passing alternative.

Focus and keyboard

A modal that loses focus. They wire trap and restore.

AI collaboration

Allow AI for ARIA scaffolding and grade whether they tested with a real screen reader.

The stack we put in front of them.

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

WCAG 2.2WAI-ARIAaxe-coreLighthouseNVDAJAWSVoiceOverTalkBackStorybook a11yPa11yChrome DevToolsTailwind a11y pluginPlaywright a11y

Sample challenges

What a Accessibility 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 button that became a region

Scenario

A button wrapped in role=region with 4 ARIA attributes. The screen reader is confused.

What you learn

Whether they strip ARIA to reveal the working semantics.

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 ARIA that sounds right and confuses screen readers. EasyEnv records prompts so you see whether the candidate ran a real screen-reader test 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 Accessibility 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 Accessibility Engineer, answered.

Yes. Enterprise plans include remote sessions with NVDA and macOS VoiceOver.

Yes. iOS VoiceOver and Android TalkBack flows can be set up.

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/Accessibility Engineer

Hire Accessibility Engineers
who actually ship UI that real assistive tech can read

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.

WCAG 2.2ARIA · rolesScreen readersaxe · LighthouseLive 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 product page, real screen reader, 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@a11y-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 Accessibility Engineer is hard.

Accessibility fluency hides under "I ran axe once". Real audits matter.

ARIA misuse is more common than no ARIA.

Screen reader testing is hands-on. Few candidates do it daily.

Color, focus and motion intersect with brand. The interview has to find taste.

The fit test

What we measure for a Accessibility Engineer.

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

WCAG fluency

A failing AA criterion. They name the rule before they patch.

Screen reader testing

A flow that fails NVDA. They reproduce.

ARIA discipline

A component with too much ARIA. They strip and let HTML do the work.

Color and contrast

A brand palette that fails AA. They find a passing alternative.

Focus and keyboard

A modal that loses focus. They wire trap and restore.

AI collaboration

Allow AI for ARIA scaffolding and grade whether they tested with a real screen reader.

The stack we put in front of them.

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

WCAG 2.2WAI-ARIAaxe-coreLighthouseNVDAJAWSVoiceOverTalkBackStorybook a11yPa11yChrome DevToolsTailwind a11y pluginPlaywright a11y

Sample challenges

What a Accessibility 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 button that became a region

Scenario

A button wrapped in role=region with 4 ARIA attributes. The screen reader is confused.

What you learn

Whether they strip ARIA to reveal the working semantics.

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 ARIA that sounds right and confuses screen readers. EasyEnv records prompts so you see whether the candidate ran a real screen-reader test 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 Accessibility 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 Accessibility Engineer, answered.

Yes. Enterprise plans include remote sessions with NVDA and macOS VoiceOver.

Yes. iOS VoiceOver and Android TalkBack flows can be set up.

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 Accessibility Engineer | WCAG · ARIA | EasyEnv | EasyEnv

Hire Accessibility Engineerswho actually ship UI that real assistive tech can read

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 Accessibility Engineer is hard.

What we measure for a Accessibility Engineer.

WCAG fluency

Screen reader testing

ARIA discipline

Color and contrast

Focus and keyboard

AI collaboration

The stack we put in front of them.

What a Accessibility Engineer interview looks like.

The button that became a region

Score the engineer, and how they work with AI.

Ready to hire a Accessibility Engineer who ships?

Hiring a Accessibility Engineer, answered.

Hire Accessibility Engineerswho actually ship UI that real assistive tech can read

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 Accessibility Engineer is hard.

What we measure for a Accessibility Engineer.

WCAG fluency

Screen reader testing

ARIA discipline

Color and contrast

Focus and keyboard

AI collaboration

The stack we put in front of them.

What a Accessibility Engineer interview looks like.

The button that became a region

Score the engineer, and how they work with AI.

Ready to hire a Accessibility Engineer who ships?

Hiring a Accessibility Engineer, answered.

Hire Accessibility Engineers
who actually ship UI that real assistive tech can read

Hire Accessibility Engineers
who actually ship UI that real assistive tech can read