Scale Engineer

Software Engineer

Software EngineerSoftware Engineer 3Medium to Hard

The Software Engineer 3 interview at Chewy is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds focusing on data structures, algorithms, system design, and behavioral aspects.

Rounds·4

Timeline·~7d

Experience·4 - 8 yrs

Comp band·US$120000 - US$160000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit
  • Experience and impact

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 AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design concepts, including scalability, reliability, databases, caching, and message queues.
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Chewy's mission, values, and recent news to understand the company culture and business.
  6. Prepare thoughtful questions to ask the interviewers about the role, team, and company.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. LeetCode Mediums.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Hash Tables) and basic algorithms (Sorting, Searching). Practice implementing these from scratch and analyze their time and space complexity. Aim for 2-3 LeetCode medium problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • Tell me about a time you had to deal with a difficult stakeholder.
  • Implement a function to reverse a linked list.
  • How would you design a system to handle real-time notifications for a social media platform?
  • Describe a situation where you failed and what you learned from it.
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you approach performance optimization in your code?
  • Tell me about a project you are particularly proud of and your role in it.
  • Explain the concept of eventual consistency.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Seattle

Interview focus

System design and scalability for distributed applications.Experience with cloud platforms (AWS, Azure, GCP).Leadership and mentorship capabilities.

Common questions

  • Describe a challenging technical problem you solved at your previous company.
  • How do you approach debugging a complex issue in a distributed system?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • Be prepared to discuss your experience with microservices architecture.
  • Highlight any contributions to open-source projects.
  • Emphasize your ability to lead technical discussions and mentor team members.

Rounds

Round-by-round.

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

DSA

Coding questions at Chewy.

Frequently reported on Chewy loops

View all at Chewy

Other guides

More at Chewy.