Scale Engineer

Software Engineer

Software EngineerE2Medium to Hard

The Software Engineer E2 interview process at Faire is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, including technical interviews focusing on data structures, algorithms, and system design, as well as behavioral interviews to gauge collaboration and communication skills.

Rounds·3

Timeline·~14d

Experience·2 - 5 yrs

Comp band·US$110000 - US$150000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Adaptability and learning agility
  • Cultural fit with Faire's values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
  3. Study system design principles, including scalability, availability, consistency, load balancing, caching, and database design.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  5. Research Faire's products, mission, values, and recent news to tailor your answers.
  6. Understand common software development methodologies (Agile, Scrum) and version control systems (Git).
  7. Be ready to discuss your resume in detail, highlighting relevant projects and accomplishments.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms Fundamentals. Practice 2-3 problems/day.

Weeks 1-2: Focus on core data structures and algorithms. Practice problems related to arrays, strings, linked lists, stacks, queues, trees, and basic sorting/searching algorithms. Aim for 2-3 problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle real-time notifications for a web application.
  • Explain the concept of recursion with an example.
  • How would you handle a situation where a critical bug is found in production just before a major release?
  • Describe your experience with cloud platforms like AWS or GCP.
  • What are the trade-offs between monolithic and microservices architectures?
  • Tell me about a time you disagreed with a technical decision made by your team.
  • How do you ensure the quality and testability of your code?
  • Implement a function to reverse a linked list.
  • What is the time and space complexity of your solution?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco

Interview focus

System Design: Emphasis on scalability, reliability, and trade-offs.Problem-Solving: Ability to break down complex problems and articulate solutions.Collaboration: How candidates work with others and contribute to team success.

Common questions

  • How would you design a URL shortener service?
  • Explain the difference between a process and a thread.
  • Describe a challenging technical problem you solved and how you approached it.
  • Tell me about a time you had a conflict with a teammate and how you resolved it.

Tips

  • For San Francisco: Be prepared for in-depth system design questions related to e-commerce platforms.
  • For Remote: Clearly articulate your thought process and ensure your audio/video setup is reliable.
  • For Berlin: Highlight experience with European market nuances if applicable.

Rounds

Round-by-round.

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

Med

Technical Interview (Data Structures & Algorithms) · 45 min · Software Engineer

This round is a technical interview focused on data structures and algorithms. You will be asked to solve one or two coding problems. The interviewer will assess your ability to understand the problem, devise an efficient algorithm, implement it correctly in code, and analyze its time and space complexity. Expect to write code in a shared editor and explain your approach throughout the process.

What they look for

Strong understanding of data structures and algorithms.Ability to write clean, efficient, and bug-free code.Logical thinking and systematic approach to problem-solving.Clear communication of thought process.

Evaluation

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

Sample questions

  • Given a binary tree, determine if it is a valid binary search tree.

    Data StructuresTreesRecursion

  • Find the kth largest element in an unsorted array.

    AlgorithmsSortingHeaps

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on common patterns.
  2. 02Be prepared to explain your code line by line.
  3. 03Think out loud and communicate your thought process to the interviewer.
  4. 04Consider edge cases and test your solution thoroughly.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental data structure or algorithm knowledge.
  • ×Inefficient or incorrect code implementation.
  • ×Poor problem-solving approach.

DSA

Coding questions at Faire.

Frequently reported on Faire loops

View all at Faire

Other guides

More at Faire.