Yelp

Software Engineer

Software EngineerIC5Medium to Hard

The Yelp Software Engineer IC5 interview process is designed to assess a candidate's technical proficiency, problem-solving abilities, system design skills, and cultural fit within the company. It typically involves multiple rounds, including technical interviews, a system design interview, and a behavioral interview, with a focus on practical application and real-world problem-solving.

Rounds

3

Timeline

~14 days

Experience

5 - 10 yrs

Salary Range

US$140000 - US$180000

Total Duration

150 min

Overall Evaluation Criteria

Technical Skills

Problem-solving approach and analytical skills
Data structures and algorithms knowledge
System design and architectural thinking
Coding proficiency and best practices
Communication and collaboration skills
Cultural fit and alignment with Yelp's values

Communication and Behavioral

Ability to articulate thought process clearly
Active listening and responsiveness to feedback
Enthusiasm and passion for the role and company

Preparation Tips

1Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, sorting, searching).
2Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
3Study system design principles, including scalability, availability, reliability, and common design patterns (e.g., load balancing, caching, databases, message queues).
4Understand common distributed systems concepts (e.g., CAP theorem, consensus algorithms, microservices).
5Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
6Research Yelp's products, services, and recent news to understand their business and technical challenges.
7Familiarize yourself with the technologies commonly used at Yelp (e.g., Python, Java, Go, React, AWS, Kubernetes).

Study Plan

1

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice arrays, lists, trees, hash maps, sorting, searching.

Weeks 1-2: Focus on core data structures and algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), hash tables, and basic graph traversal. Practice problems related to searching, sorting, and recursion. Aim for 2-3 hours of study and practice per day.

2

Advanced Algorithms and System Design Basics

Weeks 3-4: Advanced Algorithms & Intro to System Design. Focus on DP, graphs, and basic system components.

Weeks 3-4: Deepen understanding of algorithms like dynamic programming, greedy algorithms, and graph algorithms (Dijkstra's, BFS, DFS). Practice more complex problems. Start exploring basic system design concepts like API design, load balancing, and caching. Dedicate 2-3 hours daily.

3

System Design and Distributed Systems

Weeks 5-6: System Design Deep Dive. Cover distributed systems, databases, caching, microservices.

Weeks 5-6: Concentrate on system design. Study distributed systems concepts, database design (SQL vs. NoSQL, sharding, replication), message queues, caching strategies, and microservices architecture. Work through common system design interview questions. Allocate 3-4 hours per day.

4

Behavioral Preparation

Week 7: Behavioral Preparation. Practice STAR method for common questions.

Week 7: Focus on behavioral preparation. Use the STAR method to prepare answers for common behavioral questions related to teamwork, conflict resolution, leadership, and handling failure. Also, review your resume and prepare to discuss past projects in detail. Spend 1-2 hours daily.

5

Mock Interviews and Final Review

Week 8: Mock Interviews & Final Review. Practice with mock interviews and review weak areas.

Week 8: Mock interviews and final review. Conduct mock interviews for both technical and behavioral rounds. Review weak areas identified during practice. Ensure you are comfortable discussing your projects and motivations. Dedicate time for mock interviews and review.

Commonly Asked Questions

Design a system to handle real-time analytics for a website.
Implement a function to find the k-th largest element in an unsorted array.
How would you design a rate limiter for an API?
Describe a situation where you had to deal with a difficult stakeholder. How did you handle it?
What are the trade-offs between using a monolithic architecture versus a microservices architecture?
Write a function to reverse a linked list.
How do you ensure the scalability and reliability of a distributed system?
Tell me about a time you failed. What did you learn from it?
Design a system for a ride-sharing service like Uber or Lyft.
Given a binary tree, determine if it is a valid binary search tree.

Location-Based Differences

San Francisco

Interview Focus

Emphasis on distributed systems and scalability relevant to Yelp's core services.Understanding of local market nuances and how they might impact product features or user experience.Familiarity with technologies commonly used in the specific office's tech stack.

Common Questions

How would you design a URL shortener service?

Discuss a challenging technical problem you solved recently.

Explain the trade-offs between different database choices for a specific use case.

How do you handle concurrency in a distributed system?

Describe your experience with A/B testing and its implementation.

Tips

Research Yelp's presence and impact in the specific city/region.
Be prepared to discuss how your skills can contribute to local user growth and engagement.
Understand the competitive landscape for review and discovery platforms in that area.

Remote

Interview Focus

Focus on cloud-native architectures and microservices.Understanding of data processing and analytics relevant to user behavior.Adaptability to different engineering cultures and practices.

Common Questions

Design a real-time notification system for a social media platform.

How would you optimize a database query for a large dataset?

Discuss the principles of RESTful API design.

What are the challenges of building and maintaining a large-scale data pipeline?

Describe your experience with cloud computing platforms (AWS, Azure, GCP).

Tips

Highlight experience with scalable cloud infrastructure.
Showcase projects that demonstrate efficient data handling and analysis.
Be prepared to discuss how you collaborate effectively in a remote or distributed team environment.

Process Timeline

1
Data Structures and Algorithms45m
2
System Design60m
3
Behavioral and Cultural Fit45m

Interview Rounds

3-step process with detailed breakdown for each round

1

Data Structures and Algorithms

Assess coding skills and problem-solving using data structures and algorithms.

Technical Interview (Coding)Medium
45 minSoftware Engineer

This round focuses on your ability to solve algorithmic problems using data structures. You will be presented with a coding challenge and expected to write code that solves the problem efficiently. The interviewer will assess your thought process, how you handle edge cases, and your ability to explain your solution.

What Interviewers Look For

A structured approach to problem-solving.Proficiency in a primary programming language.Ability to write clean, readable, and efficient code.Understanding of time and space complexity (Big O notation).

Evaluation Criteria

Problem-solving approach
Correctness of the solution
Efficiency of the solution (time and space complexity)
Coding style and clarity

Questions Asked

Given an array of integers, return indices of the two numbers such that they add up to a specific target.

ArrayHash TableTwo Pointers

Implement a function to check if a binary tree is balanced.

TreeDepth-First SearchRecursion

Find the length of the longest substring without repeating characters.

StringSliding WindowHash Table

Preparation Tips

1Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
2Be comfortable explaining your approach before coding.
3Write clean, well-commented code.
4Test your code with various test cases, including edge cases.

Common Reasons for Rejection

Inability to articulate thought process clearly.
Poor understanding of fundamental data structures and algorithms.
Difficulty in translating requirements into a working solution.
Not asking clarifying questions.
2

System Design

Assess ability to design scalable, distributed systems.

System Design InterviewHard
60 minSenior Software Engineer / Engineering Manager

This round evaluates your ability to design large-scale, distributed systems. You'll be given an open-ended problem (e.g., design Twitter's feed, design a URL shortener) and expected to break it down, identify requirements, design components, and discuss trade-offs. Focus on scalability, reliability, and performance.

What Interviewers Look For

Ability to design complex, scalable systems.Understanding of distributed systems concepts.Knowledge of various technologies and their trade-offs.Clear communication of design choices.

Evaluation Criteria

System design principles
Scalability and performance considerations
Trade-off analysis
Component design and interaction
Reliability and availability

Questions Asked

Design a news feed system similar to Facebook's.

System DesignScalabilityDistributed SystemsDatabasesCaching

Design a URL shortening service like Bitly.

System DesignAPI DesignDatabasesHashing

Design a system to count unique visitors to a website in real-time.

System DesignData ProcessingScalabilityDatabases

Preparation Tips

1Study system design concepts thoroughly (databases, caching, load balancing, message queues, APIs).
2Practice designing common systems like social media feeds, chat applications, or e-commerce platforms.
3Be prepared to discuss trade-offs between different design choices.
4Clearly articulate your design and justify your decisions.

Common Reasons for Rejection

Lack of clarity in system design.
Failure to consider scalability and performance bottlenecks.
Not addressing trade-offs effectively.
Inability to handle follow-up questions or dive deeper into components.
3

Behavioral and Cultural Fit

Assess cultural fit, teamwork, and past experiences.

Behavioral InterviewMedium
45 minHiring Manager / Senior Team Member

This round focuses on your past experiences, work style, and how you align with Yelp's culture. You'll be asked behavioral questions that require you to provide specific examples using the STAR method. Be prepared to discuss your strengths, weaknesses, career goals, and why you're interested in Yelp.

What Interviewers Look For

Evidence of collaboration and teamwork.Ability to handle challenging situations and learn from them.Alignment with Yelp's values (e.g., customer focus, innovation, integrity).Good communication and interpersonal skills.

Evaluation Criteria

Teamwork and collaboration
Problem-solving and decision-making
Leadership potential
Adaptability and learning agility
Cultural fit

Questions Asked

Tell me about a time you had a conflict with a teammate. How did you resolve it?

BehavioralTeamworkConflict Resolution

Describe a project you are particularly proud of and your role in it.

BehavioralProject ExperienceAccomplishment

How do you handle constructive criticism?

BehavioralFeedbackGrowth Mindset

Preparation Tips

1Prepare specific examples using the STAR method for common behavioral questions.
2Research Yelp's mission, values, and culture.
3Be ready to discuss your career aspirations and how this role fits.
4Show enthusiasm and genuine interest in the company.

Common Reasons for Rejection

Lack of self-awareness.
Inability to provide specific examples.
Poor communication of past experiences.
Mismatch with company culture or values.
Negative attitude or lack of enthusiasm.

Commonly Asked DSA Questions

Frequently asked coding questions at Yelp

View all
Two SumEASYLongest Substring Without Repeating CharactersMEDIUMLongest Common PrefixEASYGroup AnagramsMEDIUMMerge IntervalsMEDIUMWord Ladder IIHARDWord LadderHARDReverse Words in a StringMEDIUMReverse Linked ListEASYCourse ScheduleMEDIUM