Software Engineer

Software EngineerE6Hard

The Avito E6 Software Engineer interview process is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit within the company. It is a rigorous process that typically involves multiple stages, including initial screening, technical interviews, and a final managerial or team-fit interview.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$120000 - US$150000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in core computer science concepts.
  • Problem-solving skills and analytical thinking.
  • System design and architectural capabilities.
  • Communication and collaboration skills.
  • Cultural fit and alignment with Avito's values.
  • Leadership potential and ability to mentor.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts (data structures, algorithms, operating systems, databases).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles and common patterns for building scalable applications.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
  5. Research Avito's products, services, and company culture.
  6. Prepare questions to ask the interviewers about the role, team, and company.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms. Practice implementation and complexity analysis.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and graph traversal algorithms. Practice implementing these structures and algorithms and analyzing their time and space complexity.

Questions

Commonly asked.

  • Design a distributed cache system.
  • How would you design a rate limiter?
  • Explain the concept of eventual consistency.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • What are your strengths and weaknesses as a software engineer?
  • How do you stay updated with new technologies?
  • Tell me about a time you failed and what you learned from it.
  • Design a system to handle real-time notifications for a large user base.
  • What is the difference between a process and a thread?
  • How would you approach debugging a complex production issue?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Moscow

Interview focus

Deep understanding of distributed systems and scalability.Proficiency in specific programming languages and frameworks relevant to the team.Experience with large-scale data processing and analysis.Ability to mentor junior engineers and contribute to technical strategy.

Common questions

  • How would you design a URL shortener service?
  • Discuss a challenging technical problem you solved recently.
  • Explain the CAP theorem and its implications for distributed systems.
  • How do you handle concurrency in your applications?
  • Describe your experience with cloud platforms like AWS or Azure.

Tips

  • Tailor your examples to large-scale systems and high-traffic scenarios.
  • Be prepared to discuss trade-offs in system design decisions.
  • Highlight any experience with performance optimization and cost management.
  • Showcase leadership potential and ability to influence technical direction.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Hard

Technical Interview - Coding · 60 min · Senior Software Engineer or Tech Lead

This round focuses on assessing your core programming skills and problem-solving abilities. You will be given one or two coding problems, typically involving data structures and algorithms. The interviewer will expect you to write clean, efficient, and correct code, and to clearly explain your thought process, including the time and space complexity of your solution. You may also be asked to discuss trade-offs and alternative approaches.

What they look for

Strong problem-solving skills.Proficiency in coding and debugging.Understanding of algorithmic complexity.Ability to write clean and well-structured code.

Evaluation

  • Correctness of the solution.
  • Efficiency of the solution (time and space complexity).
  • Code quality, readability, and maintainability.
  • Ability to handle edge cases and constraints.
  • Communication of the thought process.

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

    Linked ListPointers
  • Find the kth smallest element in a binary search tree.

    TreeBinary Search TreeRecursion

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on medium to hard difficulty.
  2. 02Understand the time and space complexity of common data structures and algorithms.
  3. 03Practice explaining your solutions out loud.
  4. 04Be prepared to discuss edge cases and how to handle them.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures and algorithms.
  • ×Inefficient or incorrect code implementation.
  • ×Poor time management during the coding exercise.

DSA

Coding questions at Avito.

Frequently reported on Avito loops

Other guides

More at Avito.