# Software Engineer
**Role:** Software Engineer · **Level:** G17
**Company:** [Yandex](https://scaleengineer.com/companies/yandex)
**Difficulty:** Medium
**Salary:** US$85000 - US$120000
**Experience:** 2 - 5
**Timeline:** ~14 days
Yandex is looking for a talented Software Engineer at the G17 level to join our dynamic team. This role involves designing, developing, and maintaining high-quality software solutions that power our innovative products and services. We are seeking individuals with a strong foundation in computer science principles, excellent problem-solving skills, and a passion for building scalable and efficient systems.
Canonical: https://scaleengineer.com/interviews/yandex/g17-software-engineer
---
## Overall evaluation

- Technical Skills
- Behavioral and Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a URL shortening service like bit.ly.
- Explain the difference between a process and a thread.
- How would you design a system to count the number of unique visitors to a website?
- Tell me about a time you disagreed with a teammate. How did you handle it?
- What are the trade-offs between SQL and NoSQL databases?
- Implement a function to reverse a linked list.
- Describe a situation where you had to learn a new technology quickly. How did you approach it?
- How would you optimize a slow database query?
- What are your strengths and weaknesses as a software engineer?

## Preparation tips

### lists

- Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash tables, sorting, searching).
- Practice coding problems on platforms like LeetCode, HackerRank, or Codewars, focusing on medium-difficulty problems.
- Study system design principles, including scalability, reliability, and performance optimization.
- Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
- Understand common behavioral interview questions and prepare STAR method (Situation, Task, Action, Result) answers.
- Research Yandex's products, services, and company culture.
- Brush up on your chosen programming language's core concepts and best practices.

### studyPlan

- {"title":"Data Structures and Algorithms Fundamentals","longDescription":"Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and their common operations. Practice basic algorithms like sorting (quicksort, mergesort) and searching (binary search). Solve 10-15 easy and medium problems per data structure/algorithm type.","shortDescription":"Weeks 1-2: Data Structures & Basic Algorithms. Practice 10-15 easy/medium problems per topic."}
- {"title":"Advanced Algorithms","longDescription":"Weeks 3-4: Dive deeper into advanced algorithms (dynamic programming, greedy algorithms, graph traversal - BFS/DFS). Work on problems involving time and space complexity analysis. Aim for 20-25 medium-hard problems covering these topics.","shortDescription":"Weeks 3-4: Advanced Algorithms (DP, Greedy, Graphs). Practice 20-25 medium-hard problems."}
- {"title":"System Design","longDescription":"Weeks 5-6: Focus on System Design. Study concepts like database design, caching, load balancing, message queues, API design, and microservices. Work through common system design interview questions and case studies.","shortDescription":"Weeks 5-6: System Design. Study core concepts and case studies."}
- {"title":"Behavioral Preparation","longDescription":"Week 7: Behavioral preparation. Prepare STAR method answers for common questions related to teamwork, problem-solving, leadership, and handling failure. Reflect on your past projects and identify key learnings.","shortDescription":"Week 7: Behavioral Interview Prep. Prepare STAR answers and reflect on projects."}
- {"title":"Mock Interviews and Final Review","longDescription":"Week 8: Mock interviews and review. Conduct mock interviews (technical and behavioral) with peers or mentors. Review weak areas identified during practice and mock interviews. Finalize your understanding of Yandex's products and culture.","shortDescription":"Week 8: Mock Interviews & Review. Practice and refine weak areas."}

## Location differences

- {"location":"Moscow","differences":{"tips":["Familiarize yourself with Yandex's products and services popular in Russia.","Be prepared to discuss your experience with technologies commonly used in the Russian tech industry.","Highlight any contributions to open-source projects or local tech communities."],"interviewFocus":["Understanding of the local market and user behavior.","Adaptability to specific Russian technological trends.","Experience with projects relevant to the CIS region."],"commonQuestions":["Describe a challenging project you worked on in Moscow and how you overcame obstacles.","How do you approach system design for a large-scale application in the Russian market?","What are your thoughts on the current tech landscape in Russia and Yandex's role in it?"]}}
- {"location":"Remote/International","differences":{"tips":["Showcase projects with international reach or impact.","Emphasize your ability to work effectively in diverse teams.","Be ready to discuss your understanding of global technology trends."],"interviewFocus":["Global product thinking and user empathy.","Cross-cultural communication and collaboration skills.","Experience with internationalization and localization."],"commonQuestions":["How would you design a feature for a global audience, considering diverse user needs?","Discuss your experience with international collaboration and remote team management.","What are the key differences in user expectations between Western and Eastern European markets?"]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (Data Structures & Algorithms) · **Difficulty:** Medium · **Duration:** 45 min
Tests fundamental data structures and algorithms knowledge with coding challenges.
This round focuses on your fundamental computer science knowledge. You will be asked to solve coding problems that test your understanding of data structures (like arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and explaining your solutions.
**Interviewers look for:** Strong grasp of data structures and algorithms.; Ability to translate a problem into efficient code.; Clear communication of thought process.; Attention to detail and edge cases.
**Evaluation criteria:** Correctness of solution; Efficiency of solution (time and space complexity); Code clarity and readability; Problem-solving approach; Ability to explain the solution
**Common rejection reasons:** Inability to articulate thought process clearly.; Poor understanding of fundamental data structures and algorithms.; Suboptimal or incorrect code implementation.; Failure to consider edge cases and constraints.
## Questions

- Given a binary tree, find its inorder traversal.
- Find the kth smallest element in an unsorted array.
- Implement a function to check if a string is a palindrome.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank.
- Focus on understanding the time and space complexity of your solutions.
- Write clean, well-commented code.
- Practice explaining your thought process out loud.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Medium · **Duration:** 60 min
Assesses ability to design scalable and reliable software systems.
This round assesses your ability to design and architect software systems. You'll be presented with a high-level problem (e.g., design a social media feed, a URL shortener, a ride-sharing service) and expected to propose a scalable, reliable, and efficient solution. The focus is on your understanding of distributed systems, databases, caching, load balancing, and API design.
**Interviewers look for:** Ability to design complex systems from scratch.; Knowledge of distributed systems principles.; Understanding of trade-offs in system design.; Ability to handle scale and performance requirements.
**Evaluation criteria:** Scalability of the design; Reliability and fault tolerance; Performance considerations; Trade-off analysis; Clarity of design choices; Understanding of system components (databases, caching, load balancers)
**Common rejection reasons:** Lack of understanding of distributed systems concepts.; Inability to design scalable and reliable systems.; Poor trade-off analysis in design choices.; Not considering failure scenarios or bottlenecks.
## Questions

- Design a system like Twitter's news feed.
- Design an API rate limiter.
- How would you design a distributed cache?

## Preparation tips

- Study common system design patterns and architectures.
- Practice designing systems for scale.
- Understand the trade-offs between different technologies and approaches.
- Be prepared to discuss databases, caching strategies, and load balancing.

## Round 3: Behavioral and HR
**Type:** Behavioral Interview · **Difficulty:** Easy · **Duration:** 30 min
Assesses cultural fit, motivation, and behavioral competencies.
This round is conducted by HR to understand your motivations, career goals, and cultural fit with Yandex. You'll be asked behavioral questions about your past experiences, teamwork, conflict resolution, and how you handle challenges. Be prepared to share specific examples using the STAR method.
**Interviewers look for:** Alignment with Yandex's values.; Good communication and interpersonal skills.; Ability to work effectively in a team.; Enthusiasm for the role and company.; Self-awareness and ability to learn from experiences.
**Evaluation criteria:** Communication skills; Teamwork and collaboration; Problem-solving approach; Motivation and passion; Cultural fit; Past experiences and learnings
**Common rejection reasons:** Lack of enthusiasm or interest in the role/company.; Poor communication or interpersonal skills.; Inability to provide specific examples of past behavior.; Mismatch with Yandex's company culture and values.
## Questions

- Tell me about a time you faced a difficult challenge at work and how you overcame it.
- How do you handle constructive criticism?
- Why are you interested in Yandex?

## Preparation tips

- Research Yandex's mission, values, and culture.
- Prepare STAR method answers for common behavioral questions.
- Think about why you want to work at Yandex.
- Be ready to discuss your career aspirations.

## Round 4: Hiring Manager Discussion
**Type:** Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Final discussion with the hiring manager to assess team fit and overall suitability.
This final round is with the hiring manager, who will assess your overall fit for the team and the specific role. They will likely ask questions about your experience, how you approach work, your career goals, and how you collaborate with others. This is also an opportunity for you to ask questions about the team, projects, and company culture.
**Interviewers look for:** Ability to contribute to team goals and technical direction.; Proactive approach to problem-solving.; Good communication and collaboration skills.; Potential for growth within the team.
**Evaluation criteria:** Technical leadership potential; Problem-solving approach; Communication and collaboration; Alignment with team goals; Mentorship capabilities
**Common rejection reasons:** Lack of alignment with team's technical direction.; Inability to articulate technical vision or strategy.; Poor leadership or mentorship potential.; Not a good fit for the team's dynamics or project needs.
## Questions

- What are your long-term career goals?
- How do you prioritize your work when faced with multiple tasks?
- Describe a time you had to influence a decision within your team.

## Preparation tips

- Prepare questions to ask the hiring manager.
- Reiterate your interest and enthusiasm for the role.
- Connect your skills and experience to the team's needs.
- Be ready to discuss your career aspirations and how they align with Yandex.