Interviews/Specialty Stacks/PostgreSQL Engineer

Hire PostgreSQL Engineers
who actually ship Postgres that does not page

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.

PostgreSQL 16+EXPLAIN ANALYZEIndexes · partitioningpg_stat_*Live 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 Postgres engineer reads EXPLAIN ANALYZE the way other engineers read logs. The good ones reach for the right index, write migrations that survive 10M-row tables, and treat locks as first-class. EasyEnv hands the candidate a real Postgres database with a slow query and a query plan that points the way.

Inside a live interview

What you see when they work.

Real Postgres database, real plan, 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@pg-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 PostgreSQL Engineer is hard.

Postgres depth ranges from "wrote SQL" to "wrote a custom aggregate".

Index choice taste is real and rare.

Locking and MVCC confuse most candidates.

Vacuum tuning is folklore for many.

The fit test

What we measure for a PostgreSQL Engineer.

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

Query plan reading

A query at 4s. They read the plan before they index.

Index taste

A choice between btree, gin, brin. They explain.

Locking

A migration that took an exclusive lock. They split.

Partitioning

A table that crossed 100GB. They pick a partition key.

Replication and HA

A replica falling behind. They explain WAL.

AI collaboration

Allow AI for SQL and grade whether they ran EXPLAIN after.

The stack we put in front of them.

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

PostgreSQL 16+psqlEXPLAIN ANALYZEpg_stat_statementspgvectorpg_partmanpgbouncerlogical replicationTimescaleDBCituspg_dumppg_repackpg_cronauto_explainPostgREST

Sample challenges

What a PostgreSQL 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 4s query

Scenario

A query that filters by tenant_id and timestamp. The plan shows a seq scan.

What you learn

Whether they reach for a composite index in the right order.

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 SQL that compiles and seq-scans. EasyEnv records prompts so you see whether the candidate ran EXPLAIN ANALYZE 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 PostgreSQL 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 PostgreSQL Engineer, answered.

Yes. The workspace ships with a seeded 50GB database; enterprise plans support larger snapshots.

Yes. Either extension can be pre-loaded.

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/PostgreSQL Engineer

Hire PostgreSQL Engineers
who actually ship Postgres that does not page

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.

PostgreSQL 16+EXPLAIN ANALYZEIndexes · partitioningpg_stat_*Live 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 Postgres database, real plan, 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@pg-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 PostgreSQL Engineer is hard.

Postgres depth ranges from "wrote SQL" to "wrote a custom aggregate".

Index choice taste is real and rare.

Locking and MVCC confuse most candidates.

Vacuum tuning is folklore for many.

The fit test

What we measure for a PostgreSQL Engineer.

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

Query plan reading

A query at 4s. They read the plan before they index.

Index taste

A choice between btree, gin, brin. They explain.

Locking

A migration that took an exclusive lock. They split.

Partitioning

A table that crossed 100GB. They pick a partition key.

Replication and HA

A replica falling behind. They explain WAL.

AI collaboration

Allow AI for SQL and grade whether they ran EXPLAIN after.

The stack we put in front of them.

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

PostgreSQL 16+psqlEXPLAIN ANALYZEpg_stat_statementspgvectorpg_partmanpgbouncerlogical replicationTimescaleDBCituspg_dumppg_repackpg_cronauto_explainPostgREST

Sample challenges

What a PostgreSQL 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 4s query

Scenario

A query that filters by tenant_id and timestamp. The plan shows a seq scan.

What you learn

Whether they reach for a composite index in the right order.

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 SQL that compiles and seq-scans. EasyEnv records prompts so you see whether the candidate ran EXPLAIN ANALYZE 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 PostgreSQL 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 PostgreSQL Engineer, answered.

Yes. The workspace ships with a seeded 50GB database; enterprise plans support larger snapshots.

Yes. Either extension can be pre-loaded.

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 PostgreSQL Engineer | Real-Query Interviews | EasyEnv | EasyEnv

Hire PostgreSQL Engineerswho actually ship Postgres that does not page

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 PostgreSQL Engineer is hard.

What we measure for a PostgreSQL Engineer.

Query plan reading

Index taste

Locking

Partitioning

Replication and HA

AI collaboration

The stack we put in front of them.

What a PostgreSQL Engineer interview looks like.

The 4s query

Score the engineer, and how they work with AI.

Ready to hire a PostgreSQL Engineer who ships?

Hiring a PostgreSQL Engineer, answered.

Hire PostgreSQL Engineerswho actually ship Postgres that does not page

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 PostgreSQL Engineer is hard.

What we measure for a PostgreSQL Engineer.

Query plan reading

Index taste

Locking

Partitioning

Replication and HA

AI collaboration

The stack we put in front of them.

What a PostgreSQL Engineer interview looks like.

The 4s query

Score the engineer, and how they work with AI.

Ready to hire a PostgreSQL Engineer who ships?

Hiring a PostgreSQL Engineer, answered.

Hire PostgreSQL Engineers
who actually ship Postgres that does not page

Hire PostgreSQL Engineers
who actually ship Postgres that does not page