Amazon SDE Interview Guide 2026
Amazon SDE interviews are uniquely structured around Leadership Principles. Every round — even coding — evaluates LP alignment alongside technical skills. This guide covers the loop format, question types, and how to weave LPs into your answers.
Interview Process
Online Assessment (OA)
1-2 coding problems on a timed platform (70-90 minutes). Usually medium-to-hard difficulty. Some roles include a work simulation module.
Phone Screen
45-60 minutes with an Amazon engineer. One coding problem plus behavioral questions aligned to Leadership Principles.
Onsite Loop (4-5 rounds)
Each round focuses on 1-2 Leadership Principles plus either coding, system design, or a behavioral deep-dive. One round is the 'Bar Raiser' round.
Debrief & Offer
Interviewers meet for a debrief. The Bar Raiser has veto power. Decisions are usually communicated within 5 business days.
Question Type Distribution
| Type | Weight | Description |
|---|---|---|
| Data Structures & Algorithms | ~35% | Standard coding problems. Amazon tends toward practical problems: tree traversals, graph problems, string manipulation, and design patterns. |
| System Design (OOD/HLD) | ~25% | Object-oriented design for SDE-I/II; high-level distributed system design for senior. E.g., design Amazon's shopping cart, order processing pipeline. |
| Leadership Principles (Behavioral) | ~30% | Expect 2-3 LP questions per round. 'Customer Obsession', 'Ownership', 'Dive Deep', 'Bias for Action' are most frequently tested. |
| Bar Raiser Round | ~10% | A specially trained interviewer from outside the hiring team. Evaluates overall LP alignment and raises the hiring bar. Can veto the hire. |
Top 10 Questions with Hints
Design an Amazon-like Shopping Cart
Discuss data model, pricing logic, inventory checks, session vs persistent cart, and scaling for Prime Day traffic spikes.
Find the Kth Largest Element
QuickSelect for average O(n) or min-heap of size K for O(n log K). Discuss when each approach is preferred.
Tell me about a time you disagreed with your manager (LP: Have Backbone)
STAR format. Focus on respectfully challenging the decision with data, the resolution process, and what you learned.
Course Schedule (Topological Sort)
Model as a directed graph. Use Kahn's algorithm (BFS) or DFS with cycle detection. Return order or detect impossibility.
Design an Order Processing Pipeline
Event-driven architecture with SQS/SNS. Discuss order states, payment processing, inventory reservation, and idempotency.
LRU Cache
HashMap + doubly-linked list for O(1) operations. Amazon asks this frequently — practice explaining while you code.
Tell me about a time you took ownership beyond your scope (LP: Ownership)
STAR format. Show initiative — don't say 'it wasn't my job'. Emphasize cross-team impact and long-term thinking.
Word Search II (Trie + Backtracking)
Build a Trie from the word list. DFS on the board using the Trie for pruning. Remove found words to avoid duplicates.
Design a URL Shortener at Amazon Scale
Base62 encoding, DynamoDB for storage, CloudFront for caching. Discuss analytics, expiration, and custom aliases.
Describe a situation where you simplified a complex problem (LP: Invent and Simplify)
STAR format. Show how you identified unnecessary complexity, proposed a simpler solution, and measured the improvement.
Common Mistakes to Avoid
Ignoring Leadership Principles in answers
Every Amazon interview round evaluates LPs. Even coding rounds have behavioral questions. Prepare 2-3 STAR stories per LP, especially Customer Obsession and Ownership.
Vague STAR stories without metrics
Amazon loves data. 'I improved performance' is weak. 'I reduced latency from 500ms to 120ms, saving $2M annually' is strong. Quantify your impact.
Underestimating the Bar Raiser
The Bar Raiser has veto power. They evaluate LP depth specifically. Treat every round seriously, but know that this round tests your overall culture fit at a higher bar.
Not tailoring system design to Amazon's stack
While not required, mentioning AWS services (DynamoDB, SQS, Lambda) shows familiarity with Amazon's ecosystem and scores positively.
How to Prepare with InterviewCC
Download & launch
Download InterviewCC desktop app for macOS or Windows. Launch it before your interview and keep it running in the background.
Screenshot questions in real time
During the interview, press Cmd/Ctrl+Enter to screenshot questions. AI generates structured answer outlines in seconds.
Debrief & review after
After the interview, check the auto-generated debrief report with per-question feedback and a targeted review plan.
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This guide is based on publicly available interview experiences and information. Interview processes may change. Results are not guaranteed. All trademarks belong to their respective owners.