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

Senior
Apr 2026

Summary

Amazon SWE system design round, one question about designing their storage infrastructure. Pretty sparse on details but the question itself is a beast if you're not ready for it.

Questions Asked (1)

Q1

Design Amazon's storage system.

System DesignTechnical Trade-offsData Modeling
Author's notes

This is one of those questions where you nod confidently and then immediately realize you have no idea where to start.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope: Amazon's storage system is vast, so focus on a specific service like S3 or EBS, and state your assumptions. Then, walk through requirements, high-level design, and deep dive into critical components, emphasizing trade-offs and scalability.

Pro tip: Demonstrate maturity by acknowledging that Amazon's storage is not a single system but a suite of services (S3, EBS, EFS, Glacier) optimized for different use cases; propose a design that aligns with one of these based on the interviewer's cues.

1. Clarify Requirements and Scope

Ask questions to understand the specific storage system (e.g., object, block, file), scale, consistency, durability, and latency requirements. Define functional and non-functional requirements.

2. High-Level Design

Outline the core components: metadata service, data storage nodes, API layer, and how they interact. Sketch a simple architecture diagram and explain data flow.

3. Deep Dive into Key Components

Choose 1-2 critical areas (e.g., data partitioning, replication, consistency model) and detail their design, including algorithms and data structures.

4. Address Scalability and Reliability

Explain how the system scales horizontally, handles failures, and ensures durability (e.g., replication, erasure coding, multi-AZ).

5. Discuss Trade-offs and Optimizations

Highlight trade-offs made (e.g., consistency vs. availability, cost vs. performance) and potential optimizations for specific use cases.

Key Points to Mention

  • Durability and availability: use of replication (e.g., 3x) and erasure coding for cost-effective durability.
  • Scalability: partitioning strategies (e.g., consistent hashing) and metadata management at scale.
  • Consistency models: eventual vs. strong consistency, and how to achieve read-after-write consistency.
  • Data models: object storage (key-value), block storage (fixed-size blocks), and file storage (hierarchical).
  • Security: encryption at rest and in transit, access control (IAM), and auditing.
  • Cost optimization: storage classes (hot, cold, archive) and lifecycle policies.

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