# Software Engineer
**Role:** Software Engineer · **Level:** IC5
**Company:** [Yelp](https://scaleengineer.com/companies/yelp)
**Difficulty:** Medium to Hard
**Salary:** US$140000 - US$180000
**Experience:** 5 - 10
**Timeline:** ~14 days
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.
Canonical: https://scaleengineer.com/interviews/yelp/ic5-software-engineer
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## Overall evaluation

- Technical Skills
- Communication and Behavioral

## Questions asked

- 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.

## Preparation tips

### lists

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

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"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.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice arrays, lists, trees, hash maps, sorting, searching."}
- {"title":"Advanced Algorithms and System Design Basics","longDescription":"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.","shortDescription":"Weeks 3-4: Advanced Algorithms & Intro to System Design. Focus on DP, graphs, and basic system components."}
- {"title":"System Design and Distributed Systems","longDescription":"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.","shortDescription":"Weeks 5-6: System Design Deep Dive. Cover distributed systems, databases, caching, microservices."}
- {"title":"Behavioral Preparation","longDescription":"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.","shortDescription":"Week 7: Behavioral Preparation. Practice STAR method for common questions."}
- {"title":"Mock Interviews and Final Review","longDescription":"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.","shortDescription":"Week 8: Mock Interviews & Final Review. Practice with mock interviews and review weak areas."}

## Location differences

- {"location":"San Francisco","differences":{"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."],"interviewFocus":["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."],"commonQuestions":["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."]}}
- {"location":"Remote","differences":{"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."],"interviewFocus":["Focus on cloud-native architectures and microservices.","Understanding of data processing and analytics relevant to user behavior.","Adaptability to different engineering cultures and practices."],"commonQuestions":["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)."]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Assess coding skills and problem-solving using data structures and algorithms.
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.
**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
**Common rejection reasons:** 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.
## Questions

- Given an array of integers, return indices of the two numbers such that they add up to a specific target.
- Implement a function to check if a binary tree is balanced.
- Find the length of the longest substring without repeating characters.

## Preparation tips

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

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable, distributed systems.
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.
**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
**Common rejection reasons:** 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.
## Questions

- Design a news feed system similar to Facebook's.
- Design a URL shortening service like Bitly.
- Design a system to count unique visitors to a website in real-time.

## Preparation tips

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

## Round 3: Behavioral and Cultural Fit
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess cultural fit, teamwork, and past experiences.
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.
**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
**Common rejection reasons:** 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.
## Questions

- Tell me about a time you had a conflict with a teammate. How did you resolve it?
- Describe a project you are particularly proud of and your role in it.
- How do you handle constructive criticism?

## Preparation tips

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