Hire on a decision you can read back later.
Every candidate for the role works the same real task in an isolated cloud environment. What each one actually did is scored per skill and kept, so the call that put someone on your team is not just a memory of an interview.
Camille Durand
DevOps assessment
No integrity flags
Camille Durand completed the lab2m
Report ready for reviewjust now
Hugo accepted your invitation1hAn interview is a story about the work. The work is the work.
Without Scalyz
With Scalyz
What is at stake
You are the one who lives with the decision
The people who ran the interview move on. The hire, and the reasoning that made it, stay on your side of the table.
What you sign off
The next two years
An interview is over in an hour. The engineer it approved is on your team long after everyone forgets how the call was made.
What you cannot audit
A conversation
A verdict from a room you were not in tells you who talked well, not what they can build.
What survives
The record
When a hire is questioned later, the only useful answer is what the person actually did, kept where you can find it.
Live in an afternoon
Three steps from the job post to a shortlist you can defend, with no screening calls.
Backend hiring, July
Open
6 invited · 4 completed
Closes 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
- 2
Lucas Bernard77
- 3
Every hire leaves a trail you can re-read
The candidate works through a real task on their own machine. What comes back is scored per skill, with the session evidence behind it, so the decision is not one person's recollection of a good hour.
- Scored automatically on the end state of a real system, not on an answer
- Every candidate for the role sits the same task, so the comparison holds
- Integrity flags come with their context, so you judge them yourself
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.
Make the call on the work, not the interview
Book a demo and we will run it on one of your own open roles.
One credit per candidate, reserved on send, released on expiry, no seats
