Software Engineer

Software EngineerSoftware Engineer 2Medium to Hard

Chewy's Software Engineer interview process for a Software Engineer 2 level role is designed to assess a candidate's technical proficiency, problem-solving skills, and cultural fit within the company. The process typically involves multiple rounds, including HR screening, technical interviews focusing on data structures and algorithms, system design, and behavioral assessments. The goal is to identify candidates who can contribute effectively to Chewy's innovative and collaborative environment.

Rounds·3

Timeline·~14d

Experience·2 - 5 yrs

Comp band·US$110000 - US$140000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving approach and logical thinking.
  • Code quality, efficiency, and readability.
  • Understanding of data structures and algorithms.
  • System design principles and scalability considerations.
  • Communication and collaboration skills.
  • Behavioral competencies and cultural alignment with Chewy'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-difficulty problems.
  3. Understand common system design concepts such as scalability, availability, reliability, and trade-offs.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and the impact of your work.
  5. Research Chewy's company culture, values, and recent news to tailor your responses.
  6. Practice the STAR method (Situation, Task, Action, Result) for behavioral questions.
  7. Be prepared to discuss your career goals and why you are interested in Chewy.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures (Arrays, Lists, Trees, HashMaps) & Algorithms (Sorting, Searching, BFS/DFS). 2-3 problems/day.

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), and hash tables. Practice common algorithms such as sorting (quicksort, mergesort), searching (binary search), and basic graph traversals (BFS, DFS). Aim to solve 2-3 problems per day.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service.
  • How would you design a system like Twitter's feed?
  • Tell me about a time you disagreed with a teammate. How did you resolve it?
  • Describe a complex technical problem you solved and your approach.
  • What are your strengths and weaknesses?
  • Why are you interested in Chewy?
  • How do you stay updated with new technologies?
  • Explain the concept of RESTful APIs.
  • What is the time and space complexity of your solution?
  • How would you handle a situation where a critical bug is found in production?
  • Describe your experience with cloud platforms (AWS, Azure, GCP).
  • What are your thoughts on test-driven development (TDD)?
  • How do you approach debugging a complex issue?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Adaptability to remote work environments.Communication skills in a distributed team.Understanding of local market trends and competitor landscape (if applicable).

Common questions

  • Tell me about a challenging project you worked on at your previous company.
  • How do you handle conflicting priorities?
  • Describe a time you had to influence a team to adopt your technical solution.
  • What are your thoughts on remote work collaboration tools and best practices?

Tips

  • Ensure a stable internet connection and a quiet environment for remote interviews.
  • Be prepared to discuss your experience with remote collaboration tools.
  • Research Chewy's presence and impact in your specific location.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer (Peer)

This round focuses on your fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and your understanding of time and space complexity. Expect to explain your thought process throughout the coding exercise.

What they look for

Strong grasp of data structures and algorithms.Ability to translate a problem into code.Logical thinking and systematic approach.Attention to detail and edge case handling.

Evaluation

  • Correctness of the solution.
  • Efficiency (time and space complexity).
  • Code clarity and organization.
  • Problem-solving approach.
  • Ability to handle follow-up questions and edge cases.

Sample questions

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

    Data StructuresTreesAlgorithms
  • Find the kth smallest element in a sorted matrix.

    Data StructuresArraysAlgorithmsBinary Search
  • Implement a function to find the intersection of two arrays.

    Data StructuresArraysHash MapsAlgorithms

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
  2. 02Be comfortable explaining your code and its complexity.
  3. 03Practice writing code on a whiteboard or in a shared editor without relying on IDE features.
  4. 04Think about edge cases and how to handle them.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Inefficient or incorrect code.
  • ×Lack of problem-solving skills.
  • ×Failure to consider edge cases.

DSA

Coding questions at Chewy.

Frequently reported on Chewy loops

Other guides

More at Chewy.