Process, Questions & AI Prep Tips
Google is known for one of the most rigorous interview processes in tech. Expect heavy emphasis on algorithms, data structures, system design, and Googleyness (culture fit).
A recruiter call followed by a 45-minute technical phone interview covering coding problems on a shared doc.
A 45-minute on-site (or virtual) session focused on data structures and algorithms. You'll write code on a whiteboard or shared editor.
A second coding round with different interviewers, often focusing on different problem domains (graphs, dynamic programming, etc.).
Design a large-scale distributed system. Interviewers evaluate your ability to handle trade-offs, scalability, and reliability.
Questions about how you collaborate, handle ambiguity, and drive impact. Google values intellectual humility and bias to action.
Design a URL shortening service like bit.ly.
Given a stream of integers, find the median at any point.
How would you design Google Search autocomplete?
Implement an LRU cache with O(1) get and put.
Tell me about a time you had to make a decision with incomplete information.
How would you design a distributed rate limiter?
Find the longest substring without repeating characters.
Describe a project where you had significant impact.
How would you design YouTube's video recommendation system?
Implement a trie and use it for prefix search.
Practice on LeetCode medium–hard problems daily for at least 4-6 weeks before your interview.
Always clarify the problem before coding — Google interviewers value structured thinking.
For system design, start with requirements gathering, then high-level architecture before diving into components.
Prepare 5-6 STAR-format stories for behavioral rounds focusing on leadership, collaboration, and impact.
Google uses a hiring committee — your interviewer doesn't make the final call, so be consistent across all rounds.
Study Google's core values and recent product launches to demonstrate genuine interest.
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