Know who can do the job, and defend it, without being technical yourself.
You run the funnel, but you cannot read the code, so you end up borrowing an engineer or trusting a CV. Every candidate does the same real task, and the report scores it per skill, in plain terms you can act on. The report does the technical part. You keep the decision.
Camille Durand
DevOps assessment
No integrity flags
You should not need an engineer to tell you who passed
Without Scalyz
With Scalyz
What is at stake
You have to say no to most of them, and be right
The job is not saying yes to the best. It is saying no to almost everyone, quickly, and being able to explain each no.
What you cannot do
Read the work
You can read a CV and a conversation. What you cannot read, on your own, is whether the code behind them actually holds.
What you have to defend
Every rejection
A manager or a candidate can ask why. A gut feeling is not an answer you can stand behind.
What you keep
The decision
The report does the technical reading. The judgement about who to move forward stays yours, now on solid ground.
Live in an afternoon
Three steps from the job post to a shortlist you can defend, with no screening calls.
Backend hiring, July
OpenCloses Friday, 18:00
Invite the whole list at once
You pick the test and the deadline, then send your whole applicant list at once, by email, CSV, or a shareable link.
Live environment
Running- vmlab-vm-01Ready
- svcapi-serverReady
- lbgatewayProvisioning
2h 12m left of the 3h limit
Candidates work when it suits them
Each candidate gets their own machine, a real one, with a real task already loaded.
Camille Durand
DevOps assessment
No integrity flags
The shortlist ranks itself
Scoring runs automatically against the task you set, so the ranking builds as candidates finish.
Camille Durand
DevOps assessment
No integrity flags
Campaign results
- 1
Camille DurandRecommended84
- 2
Lucas Bernard77
- 3
Léa Fontaine71
A report you can read without being an engineer
The candidate works through a real task on their own machine, and what comes back is scored per skill, in plain language. You do not grade the code, the report does that. You see who passed, by how much, and you can hand the same evidence to a hiring manager who asks.
- One scored report per candidate, scored skill by skill in plain terms
- The same task for everyone on a role, so your ranking holds and a no is defensible
- Candidates ranked on the work, not on how well the CV reads
The questions we get
Straight answers on how the tests, the scoring and the credits actually work.
What is a Scalyz lab, exactly?
A real virtual machine with a real mission, not a quiz. The candidate works with the same tools they'd use on the job, and the session is recorded so you can review the evidence later.
Who scores it?
Automatically. The checks run against what the candidate delivered, and you get a report broken down skill by skill, so no one on your team grades a thing by hand.
Can they cheat with AI?
A chatbot can suggest commands, but it can't run a live system for the candidate. The mission has to be done on the machine itself, and any cheating signals come with context, so you can judge them yourself.
What do I pay?
In credits: one per candidate. A credit is reserved when you send an invitation and released if it expires unused. You pay per candidate tested, never per user.
Can I bring my own exercise?
Yes. Upload your files as a .zip, rename the mission to match your role, and run it yourself for one credit first. What you tested is exactly what candidates get.
What is it like for candidates?
On their own time. They start when it suits them, work with real tools on a real machine, and finish in one sitting. It runs in English and French.
See who can actually do the job
The recruiter home walks through the whole thing. Or book a demo and we will run it on one of your open roles.
One credit per candidate, reserved on send, released on expiry, no seats