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Meta·Software Engineer·Onsite - System Design / Architecture·Staff

Staff
May 2026

Summary

System design round at Meta for an EM role, just one question the whole time. Pretty standard cloud storage prompt but there's more to it than people expect.

Questions Asked (1)

Q1

Design a file storage and sync service like Dropbox.

System DesignTechnical Trade-offsData Modeling
Author's notes

Spent the first few minutes on the obvious stuff, chunking files, metadata storage, sync conflicts.

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AI HintsAI Generated

Suggested Approach

Start by clarifying functional and non-functional requirements, then sketch a high-level architecture covering client, metadata service, block storage, and sync engine. Dive into critical components like chunking, deduplication, conflict resolution, and consistency models, discussing trade-offs at each step.

Pro tip: Emphasize the delta sync and chunk-level deduplication early, as it's the core of Dropbox's efficiency; also proactively discuss how you'd handle large files and network interruptions to show depth.

1. Clarify Requirements

Ask about scale (users, files, size), consistency needs, offline support, and security. Define core features: upload, download, sync across devices, versioning, sharing.

2. High-Level Architecture

Outline components: client apps, load balancers, API servers, metadata database, block storage (e.g., S3), notification service, and sync engine. Explain data flow for upload/download.

3. Data Model & Storage

Design metadata schema (files, chunks, versions, devices) and block storage layout. Discuss chunking strategy (e.g., 4MB blocks), deduplication via content hashing, and compression/encryption.

4. Sync & Consistency

Detail how clients detect changes (long polling, WebSocket), delta sync, conflict resolution (last-write-wins, version vectors), and consistency models (eventual vs strong).

5. Scalability & Trade-offs

Address scaling metadata (sharding, caching), storage (CDN, geo-replication), and trade-offs like consistency vs availability, cost vs performance, and security vs usability.

Key Points to Mention

  • Chunking and deduplication to optimize storage and bandwidth
  • Delta sync and change notification mechanisms (e.g., long polling, WebSockets)
  • Conflict resolution strategies (version vectors, last-write-wins) and consistency models
  • Metadata storage design (SQL vs NoSQL, sharding, indexing)
  • Security: encryption at rest and in transit, access control
  • Scalability: handling millions of users, geo-distribution, and fault tolerance

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