Interviews/Application Development/Solutions Engineer

Hire Solutions Engineers
who actually ship demos and integrations that close deals

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.

Demos · POCsIntegrationsAPI · SDK fluencyCustomer empathyLive 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 solutions engineer ships a working demo by the end of the call. The good ones diagnose customer pain in real time, write integrations that survive a procurement review, and treat product feedback as part of the job. EasyEnv hands the candidate a real customer scenario with broken API auth and a clock.

Inside a live interview

What you see when they work.

Real customer environment, real API calls, 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@se-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 Solutions Engineer is hard.

SE depth hides between technical and commercial.

Customer empathy is a real signal CVs miss.

Quick POCs are a skill, not luck.

Translating product feedback to engineering is editorial work.

The fit test

What we measure for a Solutions Engineer.

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

API and SDK fluency

A customer using the SDK wrong. They fix on a call.

POC design

A customer scenario with no fit yet. They scope a 30-minute POC.

Integration patterns

A customer that needs the data in Snowflake by lunch.

Translation to product

A pattern across 3 customers. They write the brief.

Demo storytelling

A 15-minute demo. They land the value not the features.

AI collaboration

Allow AI for sample code and grade whether they vetted before sending to the customer.

The stack we put in front of them.

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

SalesforceOutreachPostmanInsomniacurlSlackNotionLoomOpenAPIWebhooksOAuth flowsMermaidGoogle SlidesLookerMetabase

Sample challenges

What a Solutions 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 customer who tried 3 keys

Scenario

A customer call where the candidate must diagnose auth with the customer engineer.

What you learn

Whether they reach for the right log before the right doc.

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 integration code that looks fine and breaks at the customer's SSO. EasyEnv records prompts so you see whether the candidate verified against the customer's real token 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 Solutions 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 Solutions Engineer, answered.

Yes. The workspace can mock or proxy to a sandbox customer setup.

Yes. A timed demo with chat audience 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/Solutions Engineer

Hire Solutions Engineers
who actually ship demos and integrations that close deals

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.

Demos · POCsIntegrationsAPI · SDK fluencyCustomer empathyLive 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 customer environment, real API calls, 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@se-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 Solutions Engineer is hard.

SE depth hides between technical and commercial.

Customer empathy is a real signal CVs miss.

Quick POCs are a skill, not luck.

Translating product feedback to engineering is editorial work.

The fit test

What we measure for a Solutions Engineer.

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

API and SDK fluency

A customer using the SDK wrong. They fix on a call.

POC design

A customer scenario with no fit yet. They scope a 30-minute POC.

Integration patterns

A customer that needs the data in Snowflake by lunch.

Translation to product

A pattern across 3 customers. They write the brief.

Demo storytelling

A 15-minute demo. They land the value not the features.

AI collaboration

Allow AI for sample code and grade whether they vetted before sending to the customer.

The stack we put in front of them.

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

SalesforceOutreachPostmanInsomniacurlSlackNotionLoomOpenAPIWebhooksOAuth flowsMermaidGoogle SlidesLookerMetabase

Sample challenges

What a Solutions 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 customer who tried 3 keys

Scenario

A customer call where the candidate must diagnose auth with the customer engineer.

What you learn

Whether they reach for the right log before the right doc.

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 Solutions 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 Solutions Engineer, answered.

Yes. The workspace can mock or proxy to a sandbox customer setup.

Yes. A timed demo with chat audience 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 a Solutions Engineer | Demo · Integration | EasyEnv | EasyEnv

Hire Solutions Engineerswho actually ship demos and integrations that close deals

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 Solutions Engineer is hard.

What we measure for a Solutions Engineer.

API and SDK fluency

POC design

Integration patterns

Translation to product

Demo storytelling

AI collaboration

The stack we put in front of them.

What a Solutions Engineer interview looks like.

The customer who tried 3 keys

Score the engineer, and how they work with AI.

Ready to hire a Solutions Engineer who ships?

Hiring a Solutions Engineer, answered.

Hire Solutions Engineerswho actually ship demos and integrations that close deals

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 Solutions Engineer is hard.

What we measure for a Solutions Engineer.

API and SDK fluency

POC design

Integration patterns

Translation to product

Demo storytelling

AI collaboration

The stack we put in front of them.

What a Solutions Engineer interview looks like.

The customer who tried 3 keys

Score the engineer, and how they work with AI.

Ready to hire a Solutions Engineer who ships?

Hiring a Solutions Engineer, answered.

Hire Solutions Engineers
who actually ship demos and integrations that close deals

Hire Solutions Engineers
who actually ship demos and integrations that close deals