1-2 coding problems on a timed platform (70-90 minutes). Usually medium-to-hard difficulty. Some roles include a work simulation module.
← Back to home
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
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
Discuss data model, pricing logic, inventory checks, session vs persistent cart, and scaling for Prime Day traffic spikes.
QuickSelect for average O(n) or min-heap of size K for O(n log K). Discuss when each approach is preferred.
STAR format. Focus on respectfully challenging the decision with data, the resolution process, and what you learned.
Model as a directed graph. Use Kahn's algorithm (BFS) or DFS with cycle detection. Return order or detect impossibility.
Event-driven architecture with SQS/SNS. Discuss order states, payment processing, inventory reservation, and idempotency.
HashMap + doubly-linked list for O(1) operations. Amazon asks this frequently — practice explaining while you code.
STAR format. Show initiative — don't say 'it wasn't my job'. Emphasize cross-team impact and long-term thinking.
Build a Trie from the word list. DFS on the board using the Trie for pruning. Remove found words to avoid duplicates.
Base62 encoding, DynamoDB for storage, CloudFront for caching. Discuss analytics, expiration, and custom aliases.
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 Offer.cc
Download & launch
Download Offer.cc 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 an answer path in seconds.
Handle follow-ups live
When follow-ups come up, keep using live listening and screenshot capture to get the next answer direction.
FAQ
Start Preparing for Your Next Interview
Pay by minute and use what you need. Get ready for your next interview.
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.