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Zscaler

Zero-trust cloud security that applies AI to threats across huge traffic

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Interview in a few hours? A quick sprint for Zscaler

AI in interviews

high confidence

AI is fine for preparing and polishing your résumé, but real-time AI help in live interviews is banned and external AI tools are off by default in live coding. Take-homes allow AI for research and brainstorming only, unless the recruiter says more is allowed.

Checked 25 Oct 2026Source

Typical interview loop

How Zscaler usually runs it for applied AI and LLM engineer roles.

  1. Recruiter call

    Focus: Role fit and logistics

    A recruiter covers scope, location and pay, asks how you see the culture, and takes your questions before passing strong fits to the hiring manager.

  2. Live coding / technical challenge

    Focus: Unassisted coding ability

    A live coding or technical exercise done without outside AI tools unless you are told beforehand that AI is part of it.

  3. Take-home or case study (some roles)

    Focus: Independent problem solving

    Some roles add a take-home assignment or case study where the core analysis and conclusions must be your own work.

  4. Structured interviews

    Focus: Role skills, reasoning, values

    Several interviewers, including the hiring manager, run structured interviews scored on role knowledge, reasoning and the company's TOPIC values.

Topics to prepare for Zscaler

The topics its loop weighs most, each with what interviewers check and what to study.

How it weights your plan

Selecting Zscaler when you build a plan multiplies each topic’s priority score:

Coding+30%
Behavioral+20%
AI coding round-20%

Official prep and resources

Public candidate write-ups

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