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

SeniorPrefer not to say
Jun 2026

Summary

Interviewed at Google, got asked a system design question about how Google Docs works under the hood. Not much else to say, it was a single question and I'm not sure how I did.

Questions Asked (1)

Q1

How does Google Docs work? Walk through the system design.

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

This one is deceptively broad.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and scope (e.g., real-time collaboration, offline support, scale). Then outline the high-level architecture, focusing on core components like document storage, real-time sync, and conflict resolution. Dive into key technical challenges such as operational transformation, consistency models, and trade-offs between latency and durability.

Pro tip: Emphasize the trade-offs between consistency and availability, and how Google Docs uses operational transformation (OT) to achieve real-time collaboration. Mention that OT is complex but necessary for low-latency editing, and contrast it with CRDTs as an alternative.

1. Clarify Requirements and Scope

Ask questions to understand the expected scale (e.g., number of concurrent editors, document size), features (real-time collaboration, offline mode, version history), and non-functional requirements (latency, consistency, availability).

2. High-Level Architecture

Sketch the main components: client apps, load balancers, API gateways, document service, collaboration service, storage (e.g., blob store for document snapshots, database for metadata), and pub/sub for real-time updates.

3. Real-Time Collaboration and Conflict Resolution

Explain how edits are propagated using WebSockets or long polling, and how operational transformation (OT) or CRDTs resolve conflicts. Discuss the role of a central server for ordering operations and maintaining consistency.

4. Data Storage and Versioning

Describe how documents are stored: periodic snapshots in a blob store (e.g., Colossus) and incremental operations in a log. Explain version history and how to reconstruct a document at any point.

5. Scalability, Fault Tolerance, and Trade-offs

Discuss partitioning by document ID, replication for availability, and caching. Address trade-offs: consistency vs. latency, OT vs. CRDTs, and how to handle offline edits and sync.

Key Points to Mention

  • Operational Transformation (OT) for conflict resolution and its complexity
  • Use of WebSockets for real-time bidirectional communication
  • Document storage: snapshots + operation log for versioning and recovery
  • Scalability via sharding by document ID and replication
  • Offline support and synchronization when reconnecting
  • Trade-offs between consistency, availability, and latency (CAP theorem)

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