Amazon's Hiring Philosophy: Leadership Principles First
Amazon's 16 Leadership Principles (What They're Really Testing)
LP What They're Evaluating
Customer Obsession Do you start with the customer and work backwards?
Ownership Do you act beyond your job description? Do you own outcomes?
Invent and Simplify Do you find elegant, simple solutions to complex problems?
Dive Deep Can you pull data and go deep on technical detail?
Bias for Action Can you make decisions under uncertainty without over-analysing?
Deliver Results Do you ship? Do you hit deadlines despite obstacles?
Earn Trust Do you build trust with teammates and stakeholders?
Critical Rule: Prepare 2 unique STAR stories per LP . Amazon interviewers will explicitly say which LP they're testing.
The Amazon Interview Process
1. Online Assessment (OA)
Amazon OA problems often test arrays, strings, graphs, and greedy algorithms . Practice timed LeetCode sessions.
2. Phone Screen (1 round)
3. Onsite Loop (5β6 rounds)
Round Focus
Coding Γ 2 DSA problems, MediumβHard
System Design Γ 1 Large-scale distributed systems
LP Behavioural Γ 2 2 LPs per round, STAR format
Bar Raiser Special interviewer β raises the bar deliberately
The Bar Raiser: Amazon's Secret Weapon
Are from a different team than the one hiring
Have veto power in the debrief
Are looking for candidates who are in the top 50% of current Amazonians at that level
How to handle the Bar Raiser: Be specific, be honest, and don't embellish. If you made a mistake in a story, own it and explain what you learned.
Amazon Coding Interview: Patterns to Master
Arrays & Sliding Window β *Sliding Window Maximum, Minimum Size Subarray Sum*
Trees β *LCA, Zigzag Traversal, Right Side View*
Graphs & BFS β *Word Ladder, Number of Islands*
Heaps β *Meeting Rooms II, K Closest Points*
String manipulation β *Integer to Roman, Valid Parentheses*
Two Pointers β *Container With Most Water, 3Sum*
System Design at Amazon
Design Amazon's order management system
Design a distributed rate limiter
Design a notification system (SNS/SQS concepts)
Design S3 (object storage at scale)
Design a recommendation engine
Writing STAR Stories That Land Offers
A specific situation (not hypothetical)
Your actions (not "the team")
Measurable outcomes (numbers, percentages, timelines)
Amazon Offer Timeline
Stage Duration
OA β Phone screen 1β2 weeks
Phone screen β Onsite 2β3 weeks
Onsite β Decision 3β5 business days
Decision β Offer letter 2β5 business days
Total 5β8 weeks
Common Reasons Amazon Candidates Fail
Generic LP answers β saying "we" instead of "I", no specific metrics
Weak system design β not knowing AWS services or distributed systems trade-offs
Failing the Bar Raiser β not being a clear step up from the average hire
Poor communication β not structuring answers clearly under pressure
How Topalupu Prepares You for Amazon
LP-mapped behavioural question bank (50+ questions tagged by Leadership Principle)
STAR scoring with AI feedback on specificity and impact metrics
System design labs including distributed systems design
Mock coding interviews with Amazon-difficulty problems
Bar Raiser simulation: harder follow-up questions and stress-testing Ready to practise for Amazon? Topalupu has AI-powered mock interviews, coding problems, and system design sessions tailored specifically for Amazon.
Start Amazon Prep