Amazon Interview Guide
🎯 Amazon’s Interview Process
Typical Amazon SDE Interview:
├── Online Assessment (OA):
│ ├── Coding problems (2-3)
│ └── Work simulation / Logical reasoning
├── Phone Screen (1): Coding + behavioral
├── On-site (4-5 rounds):
│ ├── Coding Round 1: Data structures
│ ├── Coding Round 2: Algorithms
│ ├── System Design (SDE II+): Distributed systems
│ ├── Behavioral (Loop): Leadership Principles (2-3 rounds)
│ └── "Bar Raiser": Independent evaluator
└── Bar Raiser has veto power
📊 Amazon’s Leadership Principles
This is the most important section. Amazon maps EVERY behavioral question to their 14 Leadership Principles (LPs). Failing the behavioral round = no offer, regardless of technical performance.
┌─────────────────────────────────────────────────────────┐
│ AMAZON LEADERSHIP PRINCIPLES │
├─────────────────────────────────────────────────────────┤
│ │
│ CUSTOMER OBSESSION │
│ "Leaders start with the customer and work backwards" │
│ Q: "Tell me about a time you went above and beyond │
│ for a customer" │
│ │
│ OWNERSHIP │
│ "Leaders are owners" │
│ Q: "Tell me about a time you took on something │
│ outside your role" │
│ │
│ INVENT AND SIMPLIFY │
│ "Leaders expect and require innovation" │
│ Q: "Tell me about the most innovative thing you've │
│ done" │
│ │
│ ARE RIGHT, A LOT │
│ "Leaders are right a lot" │
│ Q: "Tell me about a time you made a difficult │
│ decision with limited data" │
│ │
│ LEARN AND BE CURIOUS │
│ "Leaders are never done learning" │
│ Q: "Tell me about a time you learned something new │
│ to solve a problem" │
│ │
│ HIRE AND DEVELOP THE BEST │
│ "Leaders raise the performance bar" │
│ Q: "Tell me about a time you mentored someone" │
│ │
│ INSIST ON THE HIGHEST STANDARDS │
│ "Leaders have relentlessly high standards" │
│ Q: "Tell me about a time you raised the bar" │
│ │
│ THINK BIG │
│ "Leaders create and communicate a bold direction" │
│ Q: "Tell me about a time you proposed a vision" │
│ │
│ BIAS FOR ACTION │
│ "Speed matters in business" │
│ Q: "Tell me about a time you had to make a quick │
│ decision" │
│ │
│ FRUGALITY │
│ "Accomplish more with less" │
│ Q: "Tell me about a time you did more with less" │
│ │
│ EARN TRUST │
│ "Leaders listen attentively and speak candidly" │
│ Q: "Tell me about a time you had to deliver bad news" │
│ │
│ DIVE DEEP │
│ "Leaders operate at all levels" │
│ Q: "Tell me about a time you found a root cause" │
│ │
│ HAVE BACKBONE; DISAGREE AND COMMIT │
│ "Leaders respectfully challenge decisions" │
│ Q: "Tell me about a time you disagreed with your │
│ manager" │
│ │
│ DELIVER RESULTS │
│ "Leaders focus on key inputs and deliver with quality" │
│ Q: "Tell me about a time you met a tight deadline" │
│ │
└─────────────────────────────────────────────────────────┘
🎯 How to Prepare LP Stories
Story Mapping Template
Prepare 8-10 stories that can cover multiple LPs:
| Story | LPs Covered |
|---|---|
| Led team through crisis | Ownership, Deliver Results, Bias for Action |
| Improved system performance | Customer Obsession, Dive Deep, Insist on Highest Standards |
| Mentored junior developer | Hire and Develop, Earn Trust |
| Proposed new architecture | Think Big, Invent and Simplify, Are Right A Lot |
| Handled production incident | Ownership, Dive Deep, Deliver Results |
| Disagreed with tech lead | Have Backbone, Earn Trust |
STAR Format for Amazon
Amazon explicitly expects STAR format. Interviewers are trained to probe for each component:
Situation: "In Q3 2024, our payment processing service was experiencing
2% failure rate during peak hours, affecting 50K customers daily."
Task: "As the technical lead, I needed to identify the root cause and
reduce failures below 0.1% within 2 weeks."
Action: "I set up distributed tracing to identify the bottleneck.
Found that our database connection pool was undersized.
I implemented connection pooling with dynamic sizing,
added circuit breakers for external service calls,
and set up real-time alerting for connection exhaustion.
I also created a runbook for the on-call team."
Result: "Failure rate dropped from 2% to 0.05% within 1 week.
Saved an estimated $200K in lost revenue per month.
The approach was adopted by 3 other teams."
💻 Coding at Amazon
What Makes Amazon Different
- Practical focus: Problems often relate to real scenarios
- OA is important: Online assessment screens many candidates
- Optimization matters: Discuss time/space complexity
- Working code required: Must compile and pass test cases
Common Amazon Coding Topics
- Arrays & Strings — Most common
- Trees & Graphs — Especially BFS/DFS
- Dynamic Programming — Medium difficulty
- System Design — Practical, Amazon-scale
🏗️ System Design at Amazon
Amazon-Specific Design Topics
- Design Amazon.com (e-commerce platform)
- Design Prime Video (streaming)
- Design Alexa (voice assistant)
- Design Amazon’s recommendation system
- Design a distributed cache
Amazon’s Design Focus
- Customer-centric: Always start with customer needs
- Scale: Amazon handles massive traffic
- Reliability: 99.99% uptime expected
- Cost optimization: Frugality principle
💡 Tips for Amazon
- Prepare LPs thoroughly — This is non-negotiable
- Use STAR format — Interviewers are trained to look for it
- Include metrics — Quantify your impact
- Show ownership — “I” not “we” for your contributions
- Be specific — Vague answers score low on LPs
- Prepare for “Tell me more” — Interviewers dig deep
🔗 Cross-References
- STAR Method — Amazon’s expected format
- Common Behavioral Questions — LP-mapped questions
- System Design — Amazon-scale design