Software Engineer

Software EngineerL7Hard

The Software Engineer L7 interview at Quora is a rigorous process designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. It typically involves multiple rounds, including technical interviews, a system design interview, and behavioral interviews. The focus is on deep technical knowledge, ability to design scalable and robust systems, and alignment with Quora's values.

Rounds·4

Timeline·~14d

Experience·6 - 10 yrs

Comp band·US$180000 - US$250000

Interview time·195 min

Evaluation

What they measure.

  • Technical depth and breadth
  • Problem-solving approach and analytical skills
  • System design capabilities (scalability, reliability, maintainability)
  • Coding proficiency and best practices
  • Communication and collaboration skills
  • Cultural fit and alignment with Quora's values (curiosity, empathy, impact)

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice system design problems, focusing on trade-offs and scalability.
  3. Understand distributed systems concepts (CAP theorem, consensus algorithms, etc.).
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method.
  5. Familiarize yourself with Quora's products and engineering culture.
  6. Practice coding on a whiteboard or shared editor.
  7. Be ready to discuss your past projects in detail, highlighting your contributions and learnings.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (DSA) - Core concepts and practice.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice coding these on platforms like LeetCode, HackerRank, focusing on time and space complexity. Aim for Medium to Hard difficulty problems.

Questions

Commonly asked.

  • Design a system to handle real-time analytics for a popular website.
  • How would you implement a rate limiter for an API?
  • Explain the difference between microservices and a monolith architecture.
  • Describe a time you had to deal with a production incident. What was your role and what did you learn?
  • Write a function to find the k-th largest element in an unsorted array.
  • How would you design a distributed cache?
  • Tell me about a project you are particularly proud of and why.
  • What are the trade-offs of using eventual consistency versus strong consistency?
  • How do you approach code reviews?
  • Describe a situation where you had to influence a technical decision.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco

Interview focus

System design for large-scale applicationsDeep understanding of distributed systems and databasesProblem-solving and algorithmic thinkingLeadership and mentorship capabilitiesCommunication and collaboration skills

Common questions

  • How would you design a news feed for a platform like Quora?
  • Discuss a challenging technical problem you solved at scale.
  • Explain the trade-offs between different database technologies for a specific use case.
  • How do you approach debugging a complex distributed system?
  • Describe a time you had to influence a team to adopt a new technology or approach.

Tips

  • For San Francisco: Emphasize experience with cutting-edge technologies and fast-paced startup environments. Be prepared for in-depth discussions on scalability and performance.
  • For New York: Highlight experience with financial systems or large consumer-facing platforms if applicable. Focus on resilience and fault tolerance.
  • For Remote: Showcase strong self-management, asynchronous communication skills, and experience working effectively with distributed teams.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 45 min · Software Engineer (L5-L7)

This round focuses on your core computer science fundamentals. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise a solution, write clean and efficient code, and analyze its complexity. Expect to discuss trade-offs and potential optimizations.

What they look for

Strong grasp of data structures and algorithms.Ability to translate requirements into clean, efficient code.Logical thinking and systematic approach to problem-solving.Understanding of edge cases and error handling.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code clarity and style
  • Ability to test the code
  • Problem-solving approach

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion
  • Implement a function to find the median of a stream of numbers.

    Data StructuresHeapsAlgorithms
  • Find the longest substring without repeating characters.

    StringsSliding WindowAlgorithms

Prep for this round

  1. 01Practice coding on a whiteboard or a simple text editor.
  2. 02Focus on understanding the 'why' behind different data structures and algorithms.
  3. 03Be prepared to explain your thought process step-by-step.
  4. 04Consider edge cases and how to handle them.
  5. 05Review common algorithms like sorting, searching, graph traversal, and dynamic programming.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of depth in understanding fundamental computer science concepts.
  • ×Poor coding practices (e.g., inefficient code, lack of error handling).
  • ×Inability to optimize solutions for time or space complexity.

DSA

Coding questions at Quora.

Frequently reported on Quora loops

Other guides

More at Quora.