Recruiting Basics

IT Recruiter

An IT recruiter is a recruiter specialising in technology roles, where the binding constraint is technical judgement rather than process discipline: separating genuinely adjacent skills from superficially similar ones, holding credibility with engineers who ignore generic outreach, and running a search whose most decisive assessment the recruiter cannot personally grade.

How do you read a technical CV for signal rather than keywords?

Keyword matching rewards whoever wrote the longest tool list. Signal sits elsewhere. Look at what the person owned rather than what their team used: whether they are named on a migration, whether they carried on-call, whether the systems described were built or inherited. Look at the shape of the environment, because someone who has only worked at one scale may not transfer to another. Read tenure alongside what shipped during it. Then hand the shortlist to the engineering manager with your reasoning attached, so a wrong read gets corrected rather than repeated.

How can a recruiter own a process whose technical screen they cannot grade?

By owning everything around the screen and being explicit about the one part they do not own. The recruiter decides who reaches it, briefs the engineer running it on what to probe for, protects the slot so it happens promptly, chases the outcome, and turns the verdict into a decision the candidate hears quickly. What the recruiter must never do is reinterpret the engineer's verdict or overrule it on instinct. Where the screen keeps producing surprises in both directions, the fault usually lies in the brief rather than in the grader.

Should an employer build technical recruiting in-house or buy it?

Build when technology hiring is continuous and central, because the accumulated knowledge of your systems, your teams and your past rejection reasons is the real asset and it cannot be rented. Buy when the need is a burst, a first hire in an unfamiliar specialism, or a market where you have no presence at all. A common middle path is one in-house technical recruiter plus suppliers for the scarcest profiles, which keeps internal knowledge growing without paying a permanent salary for occasional searches.

Why does a generalist recruiter stall on engineering requisitions?

The process is not the problem. A generalist who runs excellent searches elsewhere still stalls here, because almost every judgement in a technology search is a technical one. Which of two backgrounds is closer to what the team needs. Whether a gap in a named tool is trivial or disqualifying. Whether a person describing a system they maintained actually built any part of it, or inherited all of it.

Without that judgement the recruiter falls back to matching words. Shortlists arrive full of people whose documents contain the right terms and whose experience does not fit, the engineering manager rejects them without being able to explain why in a way that transfers, and the search restarts on the same footing. The stall rarely presents as a technical gap. It presents as a manager who is never satisfied.

What does stack literacy mean in practice, and where does it stop?

Stack literacy is knowing enough about how software is built to hold a real conversation and to reason about substitution. It means understanding what a language, a framework, a datastore and a deployment layer each do, which of them are close cousins, and which combinations signal a particular kind of team or a particular era of engineering. It does not mean being able to write the code.

The boundary matters because recruiters who overreach lose credibility faster than those who admit the limit. Anyone claiming to evaluate architecture will be found out in a single conversation. A recruiter who says plainly that technical depth is the engineer's call, and then asks a sharp question about scale or team structure, keeps the room. Aim for literacy, and treat expertise as somebody else's contribution.

How do engineers decide whether an approach is worth answering?

Engineers in demand receive constant approaches and filter them in seconds. What survives is specificity: a message showing the sender read something the person actually built, naming the problem the team is working on, and being honest about the parts that might not appeal. Volume templates fail not because they are automated but because they are interchangeable, and an interchangeable message is indistinguishable from every other one that arrived that morning.

Two things sink an approach immediately. Getting the technology wrong, which signals the sender does not understand the role and will waste the reader's time. And withholding the basics, particularly the pay range and whether the work is remote, which reads as a negotiating tactic before a relationship exists. Practice on pay transparency differs by jurisdiction and some places now require disclosure, so check the local rules where you hire.

How does a technical recruiter calibrate with an engineering manager?

Calibration is a working habit, not a single meeting. The productive version is a short review of a small batch of real profiles early in the search, where the manager says yes, no or maybe and, crucially, gives the reason in terms the recruiter can reuse on the next hundred profiles. Two or three rounds of that convert a vague brief into a working filter.

The failure mode is a manager who rejects without reasons, or gives reasons that are unwritten preferences. Push for the underlying criterion every time: not that someone is weak, but which part of the work they would struggle with and why. A recruiter who leaves calibration holding a set of decision rules can run the search alone. One who leaves holding a list of rejected names cannot.

What is different about competing for engineers in the market?

Assume anyone worth hiring is in several processes at once and that yours is being compared on speed as much as on substance. A slow feedback loop is not a neutral delay, it is a decision to lose the people with the most options. Sequence the process so the expensive stages happen only once both sides are genuinely interested, and protect the gap between stages harder than the stages themselves.

Expect a counteroffer at resignation and prepare during the search rather than after, by understanding what would actually have to change for the person to stay where they are. Contract and permanent hiring also behave differently: contract markets move in days and price on availability, permanent searches move in weeks and price on progression, and a recruiter fluent in one will misjudge the other.

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FAQ

IT Recruiter — FAQs

Does an IT recruiter need to have written code? +
No, and the ones who insist on it often over-claim. The job needs enough literacy to reason about adjacent technologies and hold a credible conversation, plus the discipline to defer to an engineer on depth. Curiosity and a habit of asking engineers what they meant beats a certificate.
How do you tell genuinely adjacent skills from superficially similar ones? +
Ask what transfers: the underlying model, or only the vocabulary. Two tools solving the same problem in the same paradigm usually transfer within weeks. Two sharing a name or a family but differing in how work is structured often do not. When unsure, ask the engineering manager to rule rather than guessing.
How should an employer test technical recruiting ability in an interview? +
Give them a real requisition and a small set of anonymised profiles, then ask them to rank and justify. The justification is the test. Follow with which questions they would take back to the hiring manager, since knowing what they cannot judge alone is as informative as what they can.
Does contract technical hiring need a different recruiter? +
Often yes. Contract markets reward availability, rate fluency and same-week turnaround, while permanent searches reward persuasion over a longer arc. Some people do both well, but a permanent specialist dropped onto urgent contract cover is usually too slow, and the reverse tends to undersell the permanent role.
How do you keep an IT recruiter's stack knowledge current? +
Give them access to the engineers. Sitting in on team demos, a standing channel for questions, and a debrief after failed screens teach more than any course. Budget for it explicitly, because it is the first thing dropped when load rises and the first thing that shows when it has been.
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