Amazon Web Services

What you'll learn

Understand the main ideas in Amazon Web Services.
See a working example and explanation to help you learn by doing.
Follow a clear path to the next lesson in this topic.

When to use this lesson

Use this lesson when you want to understand the key concepts behind Amazon Web Services.

❮ Previous Next ❯

Amazon Web Services Interview Preparation

Preparing for an interview at Amazon Web Services requires a solid understanding of core computer science fundamentals, along with specialized knowledge relevant to their specific domain and engineering culture.

System Design Focus

For system design rounds at Amazon Web Services, you should be prepared to discuss architectures that can handle their specific scale and product requirements. Practice explaining why each component belongs in your design and the trade-offs involved.

Here are previously asked system design questions to help you practice specifically for Amazon Web Services:

Design a highly scalable object storage service (S3).
Design a distributed block storage engine (EBS).
Design a scalable virtual machine provisioning system (EC2).
Design a globally distributed content delivery network (CloudFront).
Design a serverless function execution environment (Lambda).
Design a distributed message queue system capable of infinite scale (SQS).
Design a highly available relational database service (RDS).
Design an identity and access management system (IAM).
Design a robust cloud resource monitoring and alerting service (CloudWatch).
Design a software-defined networking (SDN) controller for VPCs.
Design a scalable NoSQL database engine (DynamoDB).
Design a multi-tenant cluster resource scheduler for containers (ECS/EKS).
Design a distributed rate limiter for cloud APIs (API Gateway).
Design an anomaly detection system for cloud cost spikes.
Design a resilient backup and disaster recovery orchestration service.

General Preparation Advice

Coding & Algorithms: Ensure your foundation in data structures (Arrays, Strings, Hash Maps, Trees, Graphs) is solid. Practice writing solutions out loud so your reasoning is visible while you code.
Behavioral: Prepare short STAR stories that show ownership, collaboration, debugging, conflict resolution, learning, and measurable impact. Keep the examples specific and tied to real decisions you made.

❮ Previous Next ❯

Global IT & Cloud

IT Services

Product & SaaS

Developer & Data

IT Consulting