Janestreet Interview Questions (3+ Questions)

Last Updated: June 23, 2026 • 3 QuestionsReal Company Interviews

Prepare for your Janestreet interview with our comprehensive collection of 3+ real interview questions and detailed answers. These questions have been curated from actual Janestreet technical interviews across various roles including DevOps Engineer, Data Engineer, QA Engineer, and more.

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Interview Questions
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Difficulty Levels

Table of Contents

Our Janestreet interview questions cover a wide range of technical topics and difficulty levels, from entry-level positions to senior roles. Each question includes detailed explanations and answers to help you understand the concepts and prepare effectively for your interview.

💡 Pro Tips for Janestreet Interviews

  • Practice each question and understand the underlying concepts
  • Review Janestreet's specific technologies and methodologies
  • Prepare follow-up questions and edge cases
  • Practice explaining your solutions clearly and concisely

Interview Questions & Answers

1. Handle Disk Leak in Docker

Company: JaneStreet Difficulty: medium 🔒 Premium Categories: Devops

We have a container reporting 87% disk usage, but when we look at the actual files, they only account for a small fraction. The rest is phantom usage caused by deleted files that are still held open by a running process. The files are removed from the directory, but the disk blocks aren't freed beca...


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2. Find Highest Salary

Company: JaneStreet Difficulty: easy 🔒 Premium Categories: Data analysis, Data engineering

Objective

Write an SQL query to retrieve the names and salaries of the highest-paid employee(s) from the employees table.

Additional Information

  • The employees table consists of the following columns:
    • id (integer): The unique identifier for each employee.
    • name (string): The...

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3. Car Fleet

Company: JaneStreet Difficulty: medium Categories: Data engineering

def car_fleet(target: int, position: list[int], speed: list[int]) -> int:
pair = [[p, s] for p, s in zip(position, speed)]
stack = []

# Sort by position (reverse) to process closest to target first
for p, s in sorted(pair)[::-1]:
    stack.append((target - p) / s)
    if len(stack) >= 2 and stack[-1] <= stack[-2]:
        stack.pop()
        
return len(stack)

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