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Candidate-reported interview insights

Axon Frontend Engineer interviews, decoded.

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Frontend Engineer role at Axon.

3.7 rating Computer Hardware Development

Interview overview

Difficulty

Easy

Average rounds

3.1

Average duration

~44 days

Difficulty and candidate experience

Interview difficulty

easy42.9%
average28.6%
difficult28.6%

Candidate experience

positive42.9%
negative42.9%
neutral14.3%

Candidate-reported interview process

It was a smooth experience overall. Started with a recruiter call, then a coding interview. The final round was a panel interview with 5 people back-to-back, which involved a design discussion, two coding challenges, and a behavioral interview with the hiring manager. Everyone was super polite and seemed passionate about their work. I enjoyed the interview process, and the turnaround time for responses was quick.

Went through 4 phone screens, which was a bit much considering it should have been 2. The onsite was okay, but they really needed more space to conduct interviews and a more professional attitude from their team members. One engineer kept arguing about my JSON syntax, even after I showed them the documentation. While the engineering team isn't terrible, I suspect many are quite junior and their tech stack is a bit outdated.

So I first chatted with a recruiter who then set me up for a coffee chat with an Engineering Manager. We talked about the company and the role, and just general web dev stuff. It was great. Then I had a technical phone screen with a Sr. Engineer. He briefly explained his role and then we got into coding exercises in a shared online editor. First was FizzBuzz, then the look-and-say sequence. I kind of panicked on the second one and struggled to translate my thoughts into code under pressure. I got a solution that was close but not quite right. They decided to end my candidacy there.

Common Axon Frontend Engineer interview questions

A focused selection of the most detailed candidate-submitted questions.

  1. 1

    How would you approach sorting and normalizing JSON data for graphing purposes, considering various key values and data points?

  2. 2

    Given a provided JSON dataset with several key values/ data points, how can we sort and normalize the data to draw on a graph?

  3. 3

    What is the most efficient way to find the middle node of a singly-linked list.

  4. 4

    Explain some algorithm questions that I haven't heard before.

Interview question formats

Coding31.8%
Technical27.3%
Behavioral22.7%
Presentation9.1%
System Design9.1%

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Interview information is based on candidate reports and may not represent the current official hiring process of Axon.