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ViberCompany guide
Updated weekly · Reviewed by the Dataford team

Viber interview process & guide 2026

Interview difficulty 4.9 / 10Based on 80 interview reports

Everything we know about interviewing at Viber: the process stage by stage and what each round tests.

Software EngineerQA EngineerMarketing Analytics SpecialistProduct ManagerAccount ExecutiveData Scientist
Practice Viber questionsSee the process

At a glance

4.9/ 10
Interview difficulty 4.9 / 10
Rated by candidates who reported interviewing here. Harder than 69% of companies we track.
13
Role guides
80
Interview reports
12
Topics tracked
3 rounds
  1. 1
    Initial screening
  2. 2
    Technical interviews
  3. 3
    HR wrap-up and final interviews
01 · Overview

Interviewing at Viber

You go through a mix of HR screening and technical interviews, and the technical side is the centerpiece. Reports explicitly mention technical interviews with team members for technical skills and problem-solving, plus deeper discussion that can include DevOps practices and problem-solving.

What they test is strongly weighted toward engineering fundamentals plus their data and advertising domain. Across the extracted topics, Linux, QA Engineering, Mobile Engineering (general), Algorithms (Data Structures & Algorithms), Data Science concepts, and contextual advertising efficiency appear at the very top (percentile 100), with Data Structures, Contextual Targeting concepts, and AWK also very prominent.

Based on candidate reports, the loop includes several screening and interview steps, including initial screening by HR, at least one additional HR wrap-up interview, and technical interviews. However, there is no reported offer rate in the data you were given, so you cannot rely on these reports to predict whether you will get an offer.

Good to know

Your interview topics are unusually concentrated in Linux, QA, mobile engineering, and contextual advertising and measurement, with algorithms and data structures also heavily represented. If you prepare only generic backend or generic ML, you are likely to miss the domain-specific emphasis shown in the topic distribution.

02 · Difficulty and outcomes

How hard is the Viber interview?

Aggregated from 80 interview experiences
Difficulty mix
Easy23%
Medium59%
Hard18%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
43%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

34 offers across 80 reports with a stated outcome.
Experience sentiment
74%positive
Positive 74%Neutral 6%Negative 20%
03 · The loop

The interview process, end to end

3 rounds · based on 80 candidate reports
  1. 1
    Initial screening

    You start with an HR-led initial screening to assess basic qualifications and role fit. Some reports also describe an initial screening or call to assess your experience and fit, including for DevOps roles.

    HR fit · background fit · role qualification screening
  2. 2
    Technical interviews

    You complete a series of technical interviews focused on technical skills and problem-solving. Reports also mention deeper interviews that may cover DevOps practices and problem-solving abilities.

    Linux · algorithms and data structures · QA/testing knowledge
  3. 3
    HR wrap-up and final interviews

    You may have a final HR interview to evaluate overall fit and discuss next steps. Reports also describe a final interview that can include a data team assessment and potentially senior leadership evaluation, along with behavioral and cross-functional collaboration discussions in some loops.

    cultural fit · leadership and collaboration · technical and communication fit
04 · Topic breakdown

What Viber actually tests for

How prominent each skill is across reported loops
100%
Linux
100%
Product Management
100%
Data Analysis
100%
QA Engineering
100%
Marketing analytics
89%
Stakeholder Communication
83%
Communication Skills
82%
System Design
73%
Problem Solving
48%
Interview Process Navigation
39%
Stakeholder Management
31%
Experimentation / A-B Testing
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions Viber interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Software Engineer
18 interview reports
Real questions · Loop structure · Pay bands
Open the guide
QA Engineer
7 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Marketing Analytics Specialist
5 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Showing 12 of 13 role guides
Account Executive
Questions and loop structure
Open guide
Backend Engineer
Questions and loop structure
Open guide
Data Analyst
Questions and loop structure
Open guide
Data Scientist
Questions and loop structure
Open guide
DevOps Engineer
Questions and loop structure
Open guide
Engineering Manager
Questions and loop structure
Open guide
Mobile Engineer
Questions and loop structure
Open guide
Operations Manager
Questions and loop structure
Open guide
Product Manager
Questions and loop structure
Open guide
06 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Practice Linux and command-line fundamentals, because Linux is at the top of the reported technical topic distribution (percentile 100) and command-line tools are also highly prominent (percentile 90).
  • Be ready to discuss data structures and algorithms concepts and apply them to problems, since Algorithms and Data Structures are both the most prominent topics (percentile 100 and 96).
  • Prepare for QA and testing questions, including how you approach quality assurance and problem-solving in a technical setting, because QA Engineering is at percentile 100.
  • Brush up on contextual targeting and measurement of contextual advertising efficiency, including the basic ML concepts that show up in the data, since both contextual targeting concepts (95) and measurement of contextual advertising efficiency (100) are highly prominent.

Avoid this

  • Do not assume the interviews are purely behavioral or purely software engineering fundamentals. The topic data shows QA Engineering, mobile engineering, Linux, and contextual advertising measurement are central (all percentile 100).
  • Do not skip DevOps related depth, since reports mention deeper technical discussion that can include DevOps practices and problem-solving abilities.
  • Do not focus only on one language or stack without broader coverage. Golang (percentile 93) is prominent, but the topics also cover Linux, command-line tools, AWK (95), and system design patterns like monolith to microservices migration (89).
  • Do not ignore system design themes. Monolith to microservices migration is highly prominent (percentile 89), and that kind of architecture discussion can appear in your loop.
07 · FAQ

Viber interview FAQ

Answered from real candidate and workplace data
How hard are the interviews, based on the reports?

Candidate reports show 21.5% easy, 56.9% medium, and 21.5% hard, with 0.0% very hard. Use that distribution to guide your preparation effort toward the areas that come up most often in the hard and medium buckets.

What is the offer rate here?

The data provided lists an offer rate of 0.0%, but it does not explain whether this is a data artifact, selection effect, or a true outcome. Treat it as not predictive based on the information you have.

How long is the process and what are the steps?

The reports list multiple steps, including initial screening by HR, additional HR interviews, and technical interviews. The supplied data does not provide time durations for these steps, so you should plan for a multi-step loop rather than a single assessment.

What should I prioritize most in my technical prep?

Prioritize Linux and command-line skills (Linux at percentile 100, command-line tools at percentile 90), QA Engineering (percentile 100), and core algorithms and data structures (Algorithms percentile 100, Data Structures percentile 96). Then prepare contextual targeting and measurement of contextual advertising efficiency (95 and 100), plus Data Science concepts (percentile 100).

Do they test DevOps and system design too?

Yes. Reports mention deeper technical interviews that can include DevOps practices and problem-solving. They also include system design coverage via topics like monolith to microservices migration (percentile 89).

If I do not pass, can I reapply?

The provided data does not mention a reapplication policy. You would need to check directly with the recruiter or hiring team for their rules.

08 · Keep prepping

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