Scale Engineer

Software Engineer I

Software EngineerL4Medium

The Software Engineer I (L4) interview at Box is designed to assess a candidate's foundational software engineering skills, problem-solving abilities, and cultural fit. The process typically involves multiple rounds, including technical assessments, behavioral interviews, and a system design discussion, to ensure a comprehensive evaluation.

Rounds·3

Timeline·~7d

Experience·1 - 3 yrs

Comp band·US$100000 - US$130000

Interview time·150 min

Evaluation

What they measure.

  • Technical Proficiency: Ability to write clean, efficient, and well-tested code.
  • Problem-Solving: Aptitude for breaking down complex problems and devising effective solutions.
  • Communication: Clarity in explaining technical concepts and collaborating with others.
  • Cultural Fit: Alignment with Box's values of collaboration, innovation, and customer focus.
  • Learning Agility: Demonstrated ability to learn new technologies and adapt to changing environments.

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash tables, sorting, searching).
  2. Brush up on object-oriented programming (OOP) principles.
  3. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  4. Understand common software design patterns.
  5. Prepare to discuss your past projects in detail, focusing on your contributions and the challenges you faced.
  6. Research Box's company culture, values, and products.
  7. Prepare thoughtful questions to ask the interviewers.
  8. Practice explaining technical concepts in a clear and concise manner.
  9. Review system design fundamentals, including scalability, reliability, and performance.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (Arrays, Lists, Trees, Graphs, Hash Tables, Sorting, Searching). Solve 2-3 problems daily.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), graphs, hash tables. Practice common algorithms like sorting (quicksort, mergesort), searching (binary search), graph traversal (BFS, DFS), and dynamic programming. Aim to solve at least 2-3 problems per day.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • How would you design a system to handle real-time notifications?
  • What are the advantages of using a NoSQL database over a relational database?
  • Tell me about a time you failed and what you learned from it.
  • How do you ensure the quality of your code?
  • Design an API for a simple e-commerce product catalog.

Locations

Regional differences.

Fig · Regions — 01 locations

01 / 01

Location

All Locations

Interview focus

Problem-solving and debugging skillsCollaboration and communicationAdaptability and learning agilityUnderstanding of core CS conceptsBasic system design principles

Common questions

  • Tell me about a challenging bug you fixed.
  • Describe a time you disagreed with a teammate and how you resolved it.
  • How do you approach learning a new technology?
  • What are your favorite programming languages and why?
  • Explain the concept of RESTful APIs.
  • How would you design a URL shortener?
  • What are the trade-offs between SQL and NoSQL databases?

Tips

  • Be prepared to discuss specific examples from your past projects.
  • Practice explaining technical concepts clearly and concisely.
  • Research Box's products and values to tailor your answers.
  • Prepare questions to ask the interviewer about the team and role.

Rounds

Round-by-round.

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

Med

Technical Interview - Coding · 45 min · Software Engineer

This round focuses on assessing your core programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean code, and explain your thought process. Be prepared to discuss time and space complexity.

What they look for

Strong grasp of data structures and algorithms.Ability to write clean, efficient, and bug-free code.Clear communication of problem-solving approach.Attention to detail and edge case handling.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code clarity and readability.
  • Ability to articulate the thought process.
  • Handling of edge cases.

Sample questions

  • Given a sorted array of integers, find the index of a target value using binary search.

    AlgorithmsArraysBinary Search

  • Implement a function to check if a binary tree is a valid Binary Search Tree.

    Data StructuresTreesRecursion

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on easy and medium difficulty.
  2. 02Review common data structures (arrays, linked lists, trees, hash maps) and algorithms (sorting, searching, graph traversal).
  3. 03Practice explaining your solution out loud as you code.
  4. 04Think about edge cases and how to handle them.

Common rejection reasons

  • ×Inability to solve basic coding problems.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Difficulty in explaining thought process.
  • ×Lack of attention to detail in code.

DSA

Coding questions at Box.

Frequently reported on Box loops

View all at Box

Other guides

More at Box.