Software Engineer I

Software EngineerL2Medium

The Software Engineer I (L2) interview at Chime is designed to assess a candidate's foundational software engineering skills, problem-solving abilities, and cultural fit within the company. It typically involves a mix of technical and behavioral assessments to ensure the candidate can contribute effectively to Chime's engineering teams.

Rounds·3

Timeline·~7d

Experience·1 - 3 yrs

Comp band·US$90000 - US$120000

Interview time·120 min

Evaluation

What they measure.

  • Problem-solving approach
  • Code quality and efficiency
  • Understanding of data structures and algorithms
  • System design fundamentals
  • Communication skills
  • Teamwork and collaboration
  • Cultural alignment with Chime's values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, sorting, searching).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium-difficulty problems.
  3. Understand basic system design concepts, such as scalability, availability, and trade-offs.
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Chime's mission, values, and recent product developments.
  6. Be ready to discuss your past projects and technical contributions in detail.
  7. Practice explaining your thought process clearly and concisely.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Complexity Analysis. Cover arrays, lists, trees, graphs, hash tables. Practice Big O.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash tables) and their common operations. Practice problems related to these structures. Review time and space complexity analysis (Big O notation).

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 ambiguity in a project.
  • How would you design a URL shortening service?
  • Tell me about a time you failed and what you learned from it.
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you stay updated with new technologies?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Adaptability to remote collaboration tools and practices.Communication skills in a distributed environment.

Common questions

  • Describe a challenging bug you fixed and your approach.
  • How do you handle code reviews?
  • Tell me about a time you disagreed with a teammate.

Tips

  • Ensure a stable internet connection and a quiet environment.
  • Be prepared to share your screen and use virtual whiteboarding tools.
  • Clearly articulate your thought process verbally.

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 your core 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 understand the problem, devise a solution, write clean code, and analyze its time and space complexity. You'll be expected to communicate your thought process throughout the exercise.

What they look for

A systematic approach to problem-solving.Clean, readable, and efficient code.Correct implementation of data structures and algorithms.Ability to explain the solution and its complexity.

Evaluation

  • Problem-solving skills
  • Coding proficiency
  • Understanding of data structures and algorithms
  • Communication of technical concepts

Sample questions

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

    Data StructuresTreesAlgorithms
  • Implement a function to find the kth smallest element in an unsorted array.

    ArraysAlgorithmsSorting

Prep for this round

  1. 01Practice coding problems on a whiteboard or a shared editor.
  2. 02Focus on explaining your approach before coding.
  3. 03Test your code with edge cases.
  4. 04Be prepared to discuss alternative solutions and their trade-offs.

Common rejection reasons

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

DSA

Coding questions at Chime.

Frequently reported on Chime loops

Other guides

More at Chime.