Tech Interviews Are Often Myopic

One of the strangest things about tech interviews is how narrow they can be.

You would think the hiring process for engineers would reward curiosity, problem-solving, and the ability to adapt to new tools.

Instead, many interviews reward something much simpler:

familiarity with the exact tools the interviewer already knows.

And the moment you step outside that comfort zone, the conversation can collapse.

Take infrastructure tooling as an example.

Suppose you’ve been experimenting with **Terraform alternatives or newer approaches like Formae.

Maybe the tool is newer.
Maybe it solves real problems.
Maybe it improves workflows or developer experience.

But if the interviewer has spent the last five years writing AWS CloudFormation, the reaction can sometimes be predictable.

Confusion first.

Then skepticism.

Then dismissal.

Not necessarily because the tool is bad.

But because it exists outside the interviewer’s mental map.

And that’s the real issue.

Many technical interviews accidentally measure tool familiarity, not engineering thinking.

The candidate is evaluated on whether they match the interviewer’s stack rather than whether they understand the underlying system.

But good engineers don’t just memorize tools.

They understand patterns.

Infrastructure as Code.
Distributed systems.
State management.
Dependency graphs.
Idempotent provisioning.

Once you understand those ideas, switching tools is usually the easy part.

But interview processes often invert that logic.

Instead of asking:

“Does this person understand infrastructure deeply?”

They ask:

“Does this person use the exact tools I’m comfortable with?”

And when that happens, something subtle breaks.

The interview stops being a test of engineering ability.

It becomes a test of tool tribalism.

Ironically, the industry itself moves far faster than most interview processes.

New frameworks appear.

New tools solve old pain points.

New abstractions replace older ones.

But interview expectations sometimes freeze the stack in time.

The result is a strange paradox.

Companies say they want innovative engineers.

But their hiring pipelines sometimes filter for conformity to the current stack.

The best engineers know this reality.

They adapt.

They translate their experience into the language the interviewer expects.

But it still raises an interesting question.

If the goal of an interview is to identify people who can solve problems in evolving systems…

why do we sometimes judge them based on how closely they resemble the last person who already works there?