Interviews/Application Development/Backend Engineer (Go, Rust, Java)

Hire Backend Engineers
who actually ship services that hold up under load

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.

GoRustJava · KotlinPostgreSQL · RedisLive 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 backend engineer reads stack traces the way other engineers read English. They reach for pprof, jstack and tokio-console without ceremony. EasyEnv hands the candidate a service, a real load profile and a latency curve that just got worse.

Inside a live interview

What you see when they work.

Real service, real database, 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@backend-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 Backend Engineer (Go, Rust, Java) is hard.

Language depth and system depth diverge. A great Go programmer may freeze in Rust.

Concurrency bugs hide. The interview has to surface them with a real workload.

Database literacy matters more than ORM fluency. CVs blur the difference.

Service design is taste. The candidate has to defend it.

The fit test

What we measure for a Backend Engineer (Go, Rust, Java).

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

Debug a live service

A service with rising p95 latency. pprof, jstack and the database are all available.

Concurrency reasoning

A race condition in Go, Rust or Java. They explain before they patch.

Database performance

A query plan with the wrong index. They EXPLAIN and propose.

Service design

A new endpoint with rate limits, retries and timeouts. They pick defaults that age well.

CLI fluency

curl, psql, redis-cli. They use them to confirm, not to guess.

AI collaboration

Allow AI for boilerplate and grade whether they read what came back as production code.

The stack we put in front of them.

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

GoRustJavaKotlinPythonPostgreSQLMySQLRedisKafkagRPCOpenAPIDockerKubernetespproftokio-consolejstack

Sample challenges

What a Backend Engineer (Go, Rust, Java) 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 latency that crept

Scenario

A Go service whose p95 doubled over a week. pprof, traces and the deploy timeline are open.

What you learn

Whether they correlate deploy events with the curve before they profile.

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 is good at writing handlers and worse at reading load tests. EasyEnv records every prompt so you see whether the candidate ran k6 or pprof against the LLM-suggested change before they decided to keep it.

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 Backend Engineer (Go, Rust, Java) 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 Backend Engineer (Go, Rust, Java), answered.

Yes. Workspaces can come pre-installed with any combination of languages and their tooling.

Yes. Real PostgreSQL, MySQL and Redis are available, with seeded data and EXPLAIN access.

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/Backend Engineer (Go, Rust, Java)

Hire Backend Engineers
who actually ship services that hold up under load

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.

GoRustJava · KotlinPostgreSQL · RedisLive 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 service, real database, 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@backend-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 Backend Engineer (Go, Rust, Java) is hard.

Language depth and system depth diverge. A great Go programmer may freeze in Rust.

Concurrency bugs hide. The interview has to surface them with a real workload.

Database literacy matters more than ORM fluency. CVs blur the difference.

Service design is taste. The candidate has to defend it.

The fit test

What we measure for a Backend Engineer (Go, Rust, Java).

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

Debug a live service

A service with rising p95 latency. pprof, jstack and the database are all available.

Concurrency reasoning

A race condition in Go, Rust or Java. They explain before they patch.

Database performance

A query plan with the wrong index. They EXPLAIN and propose.

Service design

A new endpoint with rate limits, retries and timeouts. They pick defaults that age well.

CLI fluency

curl, psql, redis-cli. They use them to confirm, not to guess.

AI collaboration

Allow AI for boilerplate and grade whether they read what came back as production code.

The stack we put in front of them.

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

GoRustJavaKotlinPythonPostgreSQLMySQLRedisKafkagRPCOpenAPIDockerKubernetespproftokio-consolejstack

Sample challenges

What a Backend Engineer (Go, Rust, Java) 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 latency that crept

Scenario

A Go service whose p95 doubled over a week. pprof, traces and the deploy timeline are open.

What you learn

Whether they correlate deploy events with the curve before they profile.

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 Backend Engineer (Go, Rust, Java) 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 Backend Engineer (Go, Rust, Java), answered.

Yes. Workspaces can come pre-installed with any combination of languages and their tooling.

Yes. Real PostgreSQL, MySQL and Redis are available, with seeded data and EXPLAIN access.

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 Backend Engineer | Go · Rust · Java | EasyEnv | EasyEnv

Hire Backend Engineerswho actually ship services that hold up under load

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 Backend Engineer (Go, Rust, Java) is hard.

What we measure for a Backend Engineer (Go, Rust, Java).

Debug a live service

Concurrency reasoning

Database performance

Service design

CLI fluency

AI collaboration

The stack we put in front of them.

What a Backend Engineer (Go, Rust, Java) interview looks like.

The latency that crept

Score the engineer, and how they work with AI.

Ready to hire a Backend Engineer (Go, Rust, Java) who ships?

Hiring a Backend Engineer (Go, Rust, Java), answered.

Hire Backend Engineerswho actually ship services that hold up under load

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 Backend Engineer (Go, Rust, Java) is hard.

What we measure for a Backend Engineer (Go, Rust, Java).

Debug a live service

Concurrency reasoning

Database performance

Service design

CLI fluency

AI collaboration

The stack we put in front of them.

What a Backend Engineer (Go, Rust, Java) interview looks like.

The latency that crept

Score the engineer, and how they work with AI.

Ready to hire a Backend Engineer (Go, Rust, Java) who ships?

Hiring a Backend Engineer (Go, Rust, Java), answered.

Hire Backend Engineers
who actually ship services that hold up under load

Hire Backend Engineers
who actually ship services that hold up under load