Cracking LinkedIn's Senior Software Engineer Interview: LRU Cache Design Insights

linkedin | Software Engineer | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview consisted of several rounds, including coding, AI coding, behavioral questions, technical communication, and system design. The candidate faced a coding challenge where they had to solve a problem related to a summation that was modified to a product, for which they only provided a brute force solution. In the AI coding segment, the candidate discussed their approach to implementing an LRU cache, where they articulated their thought process and had the AI generate the code, followed by dry running a few test cases and addressing multithreading concerns. The behavioral questions focused on previous impactful projects, requiring the candidate to explain and illustrate their work on a whiteboard. In the system design round, the candidate was asked to design an exception monitoring system that displays the top K exceptions to on-call personnel. The candidate struggled with this question, particularly around how to collect exceptions and the naming conventions for database schema columns.

Technical Questions

  1. LRU Cache (Doubly Linked List, Hash Table)
  2. System Design (Database, Concurrency)

Tips & Insights

  • Be prepared to explain your thought process clearly during coding challenges and system design discussions.
  • Practice whiteboard explanations of your past projects to enhance your technical communication skills.
  • Familiarize yourself with common system design problems and their solutions, especially around data collection and database schema design.