Software Engineer II

Software EngineerL4Medium to Hard

This interview process is for a Software Engineer II (L4) position at Bolt, focusing on assessing technical skills, problem-solving abilities, and cultural fit.

Rounds·3

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$120000 - US$160000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Code quality and efficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Cultural alignment with Bolt's values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  3. Study system design principles and common architectural patterns.
  4. Prepare examples for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Bolt's products, services, and company culture.
  6. Understand the technologies commonly used at Bolt (e.g., Go, Python, Java, AWS, Kubernetes).

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 problems daily.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice implementing these in your preferred language. Aim for 2-3 coding problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle real-time notifications for a social media platform.
  • Tell me about a time you disagreed with a teammate. How did you handle it?
  • How would you implement a rate limiter?
  • Explain the concept of eventual consistency.
  • Describe your experience with microservices architecture.
  • What are the trade-offs between using a monolithic and a microservices architecture?
  • How do you approach debugging a complex issue in a production environment?
  • Tell me about a project you are particularly proud of and why.
  • How do you stay updated with new technologies and trends?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco

Interview focus

System DesignData Structures and AlgorithmsBehavioral questions related to teamwork and problem-solving

Common questions

  • How would you design a URL shortener service?
  • Explain the difference between SQL and NoSQL databases.
  • Describe a challenging technical problem you solved and how you approached it.

Tips

  • Be prepared to discuss your experience with distributed systems.
  • Understand the trade-offs between different database technologies.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer (L3/L4)

This round focuses on your fundamental programming skills. You will be asked to solve 1-2 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 debugging.

What they look for

Strong grasp of data structures and algorithmsAbility to translate requirements into working codeLogical thinking and systematic approach to problem-solving

Evaluation

  • Correctness of algorithm
  • Efficiency of solution (time and space complexity)
  • Code clarity and readability
  • Problem-solving approach

Sample questions

  • Given a binary tree, find its maximum depth.

    Data StructuresTreesRecursion
  • Implement a function to reverse a linked list.

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

    AlgorithmsSortingBinary Search

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on medium-difficulty questions.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your thought process step-by-step.
  4. 04Practice writing code on a whiteboard or in a shared editor.

Common rejection reasons

  • ×Inability to articulate thought process
  • ×Poor understanding of fundamental data structures and algorithms
  • ×Inefficient or incorrect code solutions

DSA

Coding questions at Bolt.

Frequently reported on Bolt loops

Other guides

More at Bolt.