Scale Engineer

Software Engineer II

Software EngineerL3Medium

The Software Engineer II (L3) interview at Chime is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. This role typically requires 2-5 years of relevant experience. The interview process is structured to evaluate a candidate's ability to design, develop, and maintain scalable software solutions, collaborate effectively with team members, and contribute to Chime's mission of building innovative financial products.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$100000 - US$130000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • System design capabilities
  • Technical communication
  • Collaboration and teamwork
  • Cultural fit and alignment with Chime'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, recursion).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
  3. Study system design concepts, including scalability, availability, reliability, and common design patterns.
  4. Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
  5. Understand Chime's products and mission to better align your answers with the company's goals.
  6. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Research common interview questions for Software Engineer roles at similar companies.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 medium problems daily.

Weeks 1-2: Focus on core data structures and algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), graphs, and hash tables. Practice common algorithms like sorting (quicksort, mergesort), searching (binary search), recursion, and basic dynamic programming. Aim to solve 2-3 medium problems daily.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to store and retrieve user profiles for a large-scale social media platform.
  • Tell me about a time you disagreed with a team member. How did you resolve it?
  • Implement a function to reverse a linked list.
  • How would you design a rate limiter for an API?
  • Describe a situation where you had to deal with ambiguity. How did you approach it?
  • Write a function to find the kth smallest element in a binary search tree.
  • Explain the difference between a process and a thread.
  • How do you handle errors in a distributed system?
  • What are your career goals for the next 3-5 years?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Emphasis on practical application of data structures and algorithms in real-world scenarios.Deeper dive into system design principles relevant to fintech applications.Assessment of communication and collaboration skills in a remote or hybrid work environment.

Common questions

  • Describe a challenging technical problem you solved at your previous role.
  • How do you approach debugging a complex issue in a distributed system?
  • Tell me about a time you had to work with a difficult stakeholder.
  • What are your thoughts on microservices vs. monolith architecture?
  • How do you ensure the quality and reliability of your code?

Tips

  • Familiarize yourself with common cloud platforms (AWS, Azure, GCP) and their services.
  • Be prepared to discuss your experience with CI/CD pipelines and automated testing.
  • Highlight any experience with financial technologies or regulated industries.
  • Practice explaining technical concepts clearly and concisely, especially for remote interviews.

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 assessing your core coding and problem-solving skills. You will be asked to solve one or two algorithmic problems, typically involving data structures and algorithms. The interviewer will expect you to write clean, efficient, and well-tested code, and to clearly explain your thought process throughout the problem-solving exercise. Be prepared to discuss time and space complexity.

What they look for

A candidate who can translate a problem into a working code solution.Someone who can explain their approach and justify their choices.Attention to detail and ability to identify potential issues.

Evaluation

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

Sample questions

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

    Data StructuresTreesRecursion

  • Find the length of the longest substring without repeating characters.

    Data StructuresStringsSliding Window

Prep for this round

  1. 01Practice coding on a whiteboard or a shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Test your code with various inputs, including edge cases.
  4. 04Be ready to discuss alternative solutions and their trade-offs.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Poor coding practices (e.g., unreadable code, lack of comments).
  • ×Failure to consider edge cases or constraints.
  • ×Lack of understanding of fundamental data structures and algorithms.

DSA

Coding questions at Chime.

Frequently reported on Chime loops

View all at Chime

Other guides

More at Chime.