The Avito E5 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$140000 - US$180000
Interview time·210 min
Evaluation
What they measure.
Technical proficiency in relevant programming languages and frameworks.
Problem-solving approach and analytical skills.
System design capabilities and understanding of scalability.
Communication skills and ability to articulate technical concepts.
Teamwork and collaboration abilities.
Cultural fit and alignment with Avito's values.
Ability to break down complex problems into smaller, manageable parts.
Creativity and innovation in finding solutions.
Logical thinking and systematic approach to problem-solving.
Understanding of distributed systems, microservices, and cloud architecture.
Ability to design scalable, reliable, and maintainable systems.
Knowledge of trade-offs in system design decisions.
Clear and concise communication of technical ideas.
Active listening and ability to understand requirements.
Ability to provide constructive feedback.
Demonstrated ability to work effectively in a team.
Collaboration and willingness to help others.
Adaptability to team dynamics and company culture.
Preparation
How to prepare.
Tips
01Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
02Practice coding problems regularly, focusing on efficiency and edge cases.
03Study system design principles and common architectural patterns.
04Prepare to discuss your past projects in detail, highlighting your contributions and technical decisions.
05Research Avito's products, services, and company culture.
06Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
07Understand distributed systems concepts like CAP theorem, consensus algorithms, and message queues.
08Be ready to discuss your experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures and Algorithms
Weeks 1-2: DSA fundamentals and practice (Easy/Medium).
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 problems on LeetCode (Easy/Medium).
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and case studies.
Weeks 3-4: Dive into System Design. Study concepts like scalability, availability, reliability, load balancing, caching, databases (SQL vs. NoSQL), message queues, and microservices architecture. Review common design patterns and case studies.
03
Phase 03 of 04
Behavioral and Situational Questions
Week 5: Behavioral and situational question preparation (STAR method).
Week 5: Prepare for Behavioral and Situational Questions. Reflect on past experiences related to teamwork, leadership, conflict resolution, and handling challenges. Practice answering using the STAR method.
04
Phase 04 of 04
Company Research and Mock Interviews
Week 6: Company research, question preparation, and mock interviews.
Week 6: Review Avito's technology stack, products, and recent news. Prepare questions to ask the interviewer. Practice mock interviews to simulate the actual interview environment.
Questions
Commonly asked.
How would you design a system to handle millions of concurrent users?
Describe a time you disagreed with a technical decision and how you handled it.
What are the trade-offs between monolithic and microservices architectures?
How do you ensure the scalability and reliability of a distributed system?
Explain the concept of eventual consistency.
Write a function to find the k-th largest element in an unsorted array.
How would you design a rate limiter for an API?
Tell me about a project you are particularly proud of and why.
What is your experience with asynchronous programming?
How do 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 cloud-native technologies.Experience with large-scale data processing.Strong problem-solving and debugging skills in a distributed environment.
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
Familiarize yourself with Avito's tech stack and infrastructure.
Prepare to discuss your experience with microservices architecture.
Be ready to whiteboard complex system designs.
Highlight any contributions to open-source projects or significant technical blogs.
Location
Saint Petersburg
Interview focus
Strong coding skills and understanding of data structures and algorithms.Experience with database design and optimization.Ability to write clean, maintainable, and well-tested code.Leadership potential and mentoring capabilities.
Common questions
Design an API for a real-time chat application.
How would you optimize a database query for performance?
Discuss the trade-offs between SQL and NoSQL databases.
What are your strategies for ensuring code quality and maintainability?
Describe a time you had to mentor junior engineers.
Tips
Practice coding problems on platforms like LeetCode, focusing on medium to hard difficulty.
Review common software design patterns.
Prepare examples of how you've improved code quality or mentored others.
Be ready to discuss your thought process clearly and concisely.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Hard
Data Structures And Algorithms Interview · 60 min · Senior Software Engineer or Tech Lead
This round focuses on assessing your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and communication. Expect to discuss time and space complexity, edge cases, and potential optimizations.
What they look for
Strong grasp of fundamental algorithms and data structures.Ability to translate a problem into working code.Attention to detail and thoroughness in testing.Clear communication of the solution and its trade-offs.
Evaluation
Correctness of the solution.
Efficiency of the algorithm (time and space complexity).
Code quality, readability, and maintainability.
Ability to handle edge cases and constraints.
Problem-solving approach and communication of the thought process.
Sample questions
Given a binary tree, find its inorder traversal.
TreeRecursionIteration
Implement a function to reverse a linked list.
Linked ListPointers
Find the median of two sorted arrays.
ArrayBinary SearchDivide and Conquer
Prep for this round
01Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
02Focus on understanding the underlying data structures and algorithms.
03Practice explaining your thought process out loud while coding.
04Be prepared to write code on a whiteboard or in a shared editor.
Common rejection reasons
×Inability to articulate thought process clearly.
×Lack of fundamental knowledge in data structures or algorithms.
×Inefficient or incorrect code implementation.
×Poor handling of edge cases.
Hard
System Design Interview · 60 min · Senior Software Engineer or Architect
This round assesses your ability to design and architect scalable, reliable, and maintainable systems. You will be given an open-ended problem, such as designing a specific service (e.g., a URL shortener, a social media feed, a chat system). The interviewer will probe your design choices, focusing on aspects like data storage, API design, scalability, performance, and fault tolerance. Be prepared to discuss trade-offs and justify your decisions.
What they look for
Ability to design complex systems from scratch.Deep understanding of distributed systems principles.Experience with large-scale applications.Pragmatic approach to problem-solving and design.Clear communication of technical concepts.
Evaluation
Scalability of the proposed design.
Reliability and fault tolerance.
Clarity and completeness of the design.
Understanding of trade-offs and justifications for design choices.
Knowledge of relevant technologies and patterns.
Sample questions
Design a distributed cache system.
System DesignDistributed SystemsCaching
How would you design Twitter's news feed?
System DesignScalabilityReal-time
Design an API for a ride-sharing service.
System DesignAPI DesignMicroservices
Prep for this round
01Study common system design patterns and architectural styles (e.g., microservices, event-driven).
02Understand concepts like load balancing, caching, database sharding, and replication.
03Practice designing various systems and discussing their components.
04Be prepared to draw diagrams and explain your design clearly.
Common rejection reasons
×Inability to design a scalable and robust system.
×Lack of understanding of distributed systems concepts.
×Poor consideration of trade-offs and failure scenarios.
×Inability to communicate design choices effectively.
Med
Behavioral And Managerial Interview · 45 min · Hiring Manager or Senior Team Member
This round focuses on your behavioral and cultural fit. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your motivations. The goal is to understand how you operate, your strengths and weaknesses, and whether you align with Avito's values and team dynamics. Use the STAR method to structure your answers with specific examples.
What they look for
Cultural fit and positive attitude.Ability to work effectively in a team.Self-awareness and ability to learn from past experiences.Passion for technology and the company's mission.Good communication and listening skills.
Evaluation
Alignment with Avito's culture and values.
Teamwork and collaboration skills.
Problem-solving approach in past experiences.
Motivation and career aspirations.
Communication and interpersonal skills.
Sample questions
Tell me about a time you faced a significant technical challenge and how you overcame it.
BehavioralProblem Solving
Describe a situation where you had a conflict with a colleague and how you resolved it.
BehavioralTeamworkConflict Resolution
Why are you interested in working at Avito?
BehavioralMotivation
Prep for this round
01Reflect on your past projects and experiences.
02Prepare specific examples using the STAR method for common behavioral questions.
03Research Avito's company culture, values, and mission.
04Prepare thoughtful questions to ask the interviewer about the team and role.
Common rejection reasons
×Poor communication or interpersonal skills.
×Lack of alignment with company values or team culture.
×Inability to provide specific examples for behavioral questions.
×Negative attitude or lack of enthusiasm.
Med
Team Fit And Technical Deep Dive · 45 min · Potential Team Lead or Senior Team Members
This final round often involves meeting with potential team members or the team lead. It's an opportunity for both sides to assess technical alignment and team fit. You might discuss specific technical challenges the team is facing, your approach to collaboration, and how you envision contributing to the team's goals. This is also your chance to ask in-depth questions about the team's work.
What they look for
Ability to contribute to the team's specific projects.Potential for mentorship and knowledge sharing.Enthusiasm for the team's domain.Good rapport and potential for positive team dynamics.
Evaluation
Technical depth and breadth relevant to the team's work.
Potential for growth and contribution to the team.
Collaboration and communication style.
Alignment with the team's technical vision and challenges.
Sample questions
How would you approach optimizing a slow-running microservice?
System DesignPerformanceMicroservices
Describe your experience with mentoring junior engineers.
BehavioralMentorshipLeadership
What are your thoughts on adopting a new technology for our current project?
TechnicalDecision MakingTechnology Adoption
Prep for this round
01Understand the specific domain and projects of the team you are interviewing for.
02Prepare to discuss how your skills and experience can benefit the team.
03Think about how you collaborate and share knowledge.
04Ask specific questions about the team's challenges and successes.
Common rejection reasons
×Lack of alignment with the team's technical direction.
×Inability to demonstrate leadership or mentorship potential.
×Poor communication with potential future colleagues.
×Mismatch in expectations regarding role responsibilities.