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

SeniorPrefer not to say
Apr 2026

Summary

System design round at Robinhood for a software engineer role. The whole thing centered on designing a photo management system, which sounds straightforward until you're 20 minutes in and realize you've barely scratched the surface on storage and metadata.

Questions Asked (1)

Q1

Design a photo management system that supports uploading photos, organizing them into albums, adding and removing photos from albums, listing album contents, and viewing photo metadata. Walk through the API design, storage architecture, metadata modeling, scalability, and reliability.

System DesignAPI & IntegrationsData Modeling
Author's notes

This is a deceptively wide question.

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Suggested Approach

Start by clarifying requirements and scale (e.g., number of users, photos, read/write ratio) to frame the design. Then propose a high-level architecture covering API design, storage, metadata modeling, and scalability/reliability, and dive into key components like album-photo relationships and metadata indexing. Finally, discuss trade-offs and how to handle failures and growth.

Pro tip: Emphasize idempotency and consistency for album operations, and discuss how to handle eventual consistency in metadata views, as these are critical for financial-grade systems like Robinhood.

1. Clarify Requirements and Scale

Ask questions to understand expected scale (users, photos, albums), read/write patterns, and consistency needs. This ensures the design meets actual needs and avoids over-engineering.

2. Design APIs

Define RESTful endpoints for uploading photos, creating albums, adding/removing photos, listing album contents, and retrieving metadata. Include request/response formats and status codes.

3. Design Storage Architecture

Propose a scalable storage solution: object storage (e.g., S3) for photo blobs, a relational or NoSQL database for metadata and album relationships, and a CDN for efficient delivery.

4. Model Metadata and Relationships

Define schemas for photos, albums, and the many-to-many relationship between them. Consider indexing strategies for efficient queries like listing album contents and fetching metadata.

5. Address Scalability and Reliability

Discuss partitioning, replication, caching, and fault tolerance. Cover how to handle large uploads, concurrent album modifications, and ensure data durability and availability.

Key Points to Mention

  • Use of object storage (e.g., S3) for photo blobs with pre-signed URLs for secure uploads/downloads.
  • Database design: separate tables/collections for photos, albums, and album_photos with appropriate indexes.
  • API design principles: RESTful endpoints, idempotent operations for add/remove, pagination for listing.
  • Scalability: sharding by user ID, read replicas, caching metadata, CDN for photo delivery.
  • Reliability: replication, backups, handling partial failures, and ensuring consistency in album operations.
  • Metadata modeling: store EXIF data, tags, and timestamps; consider search and filtering requirements.

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