← Google Interview Insights

Google·Software Engineer·Onsite - System Design / Architecture·Senior

Senior
May 2026

Summary

Interviewed at Google, looks like it was a system design round focused on collaborative editing products. Just one question but it went pretty deep.

Questions Asked (1)

Q1

How would you design the system that allows multiple users to edit a document simultaneously, like in Google Docs?

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

This is the kind of question where you think you know what to say and then you open your mouth and realize you don't.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Start by clarifying requirements (e.g., scale, latency, consistency) and then propose a high-level architecture using a client-server model with operational transformation (OT) or CRDTs for conflict resolution. Walk through the design of key components like real-time communication, document storage, and concurrency control, while discussing trade-offs.

Pro tip: Emphasize the trade-offs between OT and CRDTs, and mention that Google Docs uses OT. Also, discuss how to handle network partitions and offline editing, showing awareness of real-world challenges.

1. Clarify Requirements

Ask questions to understand the scale (number of concurrent users, document size), latency expectations, consistency needs, and offline support. This shows you can scope the problem effectively.

2. High-Level Architecture

Outline the main components: clients, real-time collaboration server, document storage, and possibly a pub/sub system. Explain how clients connect via WebSockets and how updates are propagated.

3. Concurrency Control

Discuss conflict resolution strategies: Operational Transformation (OT) or Conflict-Free Replicated Data Types (CRDTs). Explain how they work, their trade-offs, and why OT is suitable for Google Docs-like systems.

4. Data Model and Storage

Describe how to represent the document (e.g., as a sequence of operations or a tree) and how to persist it. Mention using a database like Bigtable or Spanner for scalability and consistency.

5. Scalability and Reliability

Address scaling the collaboration server (e.g., sharding by document ID), handling failures (replication, failover), and ensuring low latency (edge servers, caching).

Key Points to Mention

  • Operational Transformation (OT) vs. CRDTs: trade-offs in complexity, latency, and consistency.
  • Real-time communication using WebSockets or long polling.
  • Document representation and versioning (e.g., revision history).
  • Handling offline edits and synchronization upon reconnection.
  • Scalability considerations: sharding, load balancing, and global distribution.
  • Security and access control (authentication, authorization, encryption).

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.