Rehearsal AI Research Team
VerifiedInterview preparation specialists with expertise in campus placements and technical hiring
About Amazon
Amazon is the world's largest e-commerce and cloud computing company. Amazon India operates across e-commerce (amazon.in), AWS, Prime Video, Alexa, and multiple tech hubs in Hyderabad, Bangalore, Chennai, and Pune. The Development Centers work on core Amazon products used globally.
Founded
1994
Headquarters
Hyderabad, Bangalore, Chennai, Pune (Global: Seattle, WA)
Employees
1.5M+ globally, 100,000+ in India
Industry
E-commerce / Cloud Computing / Technology
Compensation & Roles
Fresher Package Range
20 - 35 LPA
26 LPA (SDE-1), 40 LPA (SDE-2), 60+ LPA (SDE-3)
Available Roles
Interview Rounds
Amazon's process: Online Assessment → Phone Screen → Onsite Loop (4-5 rounds). Every interview includes Leadership Principles (LP) questions. The Bar Raiser ensures hiring bar is maintained. Strong LP alignment is as important as technical skills.
Online Assessment (OA)
90-120 minutes | Remote Proctored Test
What to Expect
- ✓2 coding problems (Medium to Hard difficulty)
- ✓Work simulation / debugging section
- ✓Leadership Principles questionnaire (SJT)
- ✓Logic and reasoning questions
- ✓Code must be optimal - brute force solutions fail on large inputs
Pro Tips
- ★OA has strict time limits - practice under timed conditions
- ★Work simulation tests debugging skills - practice reading others' code
- ★LP questionnaire matters - answer honestly but think about Amazon's values
- ★Partial solutions get partial credit - submit something even if incomplete
- ★Test edge cases thoroughly before submitting
Common Questions
- •Find the number of connected components in a graph
- •Optimize delivery routes for Amazon packages
- •Find the maximum profit from buying and selling items
- •Implement an LRU cache with O(1) operations
- •Find the minimum cost to connect all warehouses
Phone Screen
45-60 minutes | Video Call with Amazon Engineer
What to Expect
- ✓1-2 coding problems on Amazon's coding platform
- ✓15-20 minutes of Leadership Principles questions
- ✓Discussion of your approach and trade-offs
- ✓Follow-up questions to extend the problem
- ✓Focus on both coding AND behavioral fit
Pro Tips
- ★Prepare LP stories before the call - you WILL be asked
- ★Use STAR format for behavioral answers
- ★Think aloud during coding - explain your approach
- ★Ask clarifying questions about requirements
- ★Know your resume inside out - they may ask about any project
Common Questions
- •Design a function to find the shortest path for Amazon delivery
- •Implement a priority queue for order processing
- •Find the longest common subsequence of two strings
- •Tell me about a time you simplified a complex problem
- •Describe a situation where you had to dive deep to solve an issue
Onsite Loop: Coding Rounds (2 rounds)
45-60 minutes each | Virtual/In-person with Amazon SDEs
What to Expect
- ✓1-2 coding problems per round (LeetCode Medium to Hard)
- ✓10-15 minutes of LP questions in each round
- ✓Data structures: Trees, Graphs, Heaps, Tries
- ✓Algorithms: DP, Greedy, BFS/DFS, Sliding Window
- ✓Each interviewer assesses both coding AND LP fit
Pro Tips
- ★Every round has LP questions - don't relax after coding well
- ★Amazon values "Bias for Action" - show you can make decisions with incomplete info
- ★If stuck, verbalize your thought process - interviewers give hints
- ★Write clean, production-quality code with proper error handling
- ★Always discuss time/space complexity
Common Questions
- •Design an algorithm for Amazon Prime delivery optimization
- •Find the minimum number of platforms needed for trains (meeting rooms variant)
- •Implement a rate limiter for API requests
- •Word search in a 2D grid
- •Find all anagrams of a pattern in a string
Onsite Loop: System Design
45-60 minutes | Whiteboard/Virtual Design Discussion
What to Expect
- ✓Design a large-scale distributed system
- ✓Focus on Amazon-relevant systems (e-commerce, logistics)
- ✓Discussion of database choices, scaling, reliability
- ✓Trade-offs between consistency and availability
- ✓15 minutes of LP questions included
Pro Tips
- ★Start with requirements and scope - ask clarifying questions
- ★Draw clear diagrams with proper components
- ★Discuss how you'd handle failures and scale
- ★Know AWS services well - they expect familiarity
- ★For SDE-1, basic design is enough; SDE-2+ needs depth
Common Questions
- •Design Amazon's e-commerce order management system
- •Design a URL shortener like amzn.to
- •Design Amazon Prime Video streaming service
- •Design a recommendation engine for product suggestions
- •Design Amazon's inventory management across warehouses
Bar Raiser Round
45-60 minutes | Interview with Senior Engineer from Different Team
What to Expect
- ✓Mix of coding and heavy LP focus
- ✓Bar Raiser ensures you raise the hiring bar
- ✓Deep behavioral questions with follow-ups
- ✓May test your ability to handle conflict or ambiguity
- ✓This round has veto power on hiring
Pro Tips
- ★This is the most important round - don't underestimate it
- ★Have 10+ LP stories ready covering all 16 principles
- ★Use specific examples with metrics and outcomes
- ★Be honest about failures - show what you learned
- ★The Bar Raiser will probe deeply - prepare for follow-up questions
Common Questions
- •Tell me about a time you disagreed with your manager
- •Describe a time you took ownership of a failing project
- •How did you earn the trust of a skeptical stakeholder?
- •Tell me about a decision you made with incomplete data
- •Describe a time you invented or simplified something
Knowing the process helps. Simulating it helps more.
Start mock interview for Amazon"Walk me through a challenging technical problem you've solved."
Common in Amazon technical rounds. Practice explaining your thought process clearly.
Practice this questionTechnical Questions Bank
Arrays & Strings
Two Sum variations - find pairs, triplets, closest sum
EasyApproach: HashMap or two pointers
Longest substring without repeating characters
MediumApproach: Sliding window with set
Merge intervals
MediumApproach: Sort and merge overlapping
Product of array except self without division
MediumApproach: Prefix and suffix products
Trees & Graphs
Lowest common ancestor of a binary tree
MediumApproach: Recursive DFS
Number of islands
MediumApproach: DFS or BFS flood fill
Course schedule - detect cycle in directed graph
MediumApproach: Topological sort or DFS
Clone graph
MediumApproach: BFS with hashmap for visited
Dynamic Programming
Longest increasing subsequence
MediumApproach: DP with binary search O(n log n)
Coin change - minimum coins
MediumApproach: Bottom-up DP
Word break - can string be segmented
MediumApproach: DP with dictionary lookup
Maximum profit in job scheduling
HardApproach: DP with binary search
Design & OOD
Design a parking lot system
MediumApproach: Classes for lot, floor, spot, vehicle
Design Amazon locker system
MediumApproach: OOD with strategy pattern for allocation
Design a library management system
MediumApproach: Classes for book, member, loan, search
Design an elevator system
MediumApproach: State pattern, scheduling algorithm
Reading questions is helpful. Practicing them is better.
Practice technical questions for Amazon"Tell me about yourself and why you want to join Amazon."
First impression matters. Practice delivering a confident, structured introduction.
Practice this questionHR Interview Questions
Tell me about a time you had to work with incomplete information (Bias for Action)
What They Look For
Ability to make decisions quickly, calculated risk-taking, not waiting for perfect data
Sample Approach
Describe a situation where you had to act fast. Show how you assessed risks, made a decision, and adjusted based on outcomes. Emphasize speed with quality.
Describe a time you disagreed with a teammate or manager (Have Backbone; Disagree and Commit)
What They Look For
Respectful disagreement based on data, willingness to commit once decision is made
Sample Approach
Pick a genuine disagreement. Show how you presented your view with data, listened to others, and either changed your mind or committed fully to the final decision.
Tell me about your biggest failure and what you learned (Learn and Be Curious)
What They Look For
Self-awareness, ability to learn from mistakes, growth mindset
Sample Approach
Choose a real failure (not a humble-brag). Explain what went wrong, what you learned, and how you've applied that learning since. Show vulnerability and growth.
Describe a time you went above and beyond for a customer (Customer Obsession)
What They Look For
Prioritizing customer needs, going the extra mile, thinking long-term
Sample Approach
Share an example where you did more than expected. Show how you understood the customer's real need and delivered value beyond the immediate ask.
HR questions seem easy—until you're in the hot seat.
Practice HR questions for AmazonPreparation Strategy
Recommended timeline: 2-4 months
Foundation (Month 1)
(4 weeks)- •Master data structures: Arrays, Trees, Graphs, Heaps
- •Solve 100+ LeetCode problems (focus on Amazon-tagged)
- •Study all 16 Amazon Leadership Principles - understand each deeply
- •Prepare 2-3 stories per LP (total 30+ stories)
Deep Practice (Month 2)
(4 weeks)- •Solve 150+ more problems - focus on Medium/Hard
- •Practice LP questions with STAR format
- •Start system design basics for SDE-2+
- •Do mock interviews weekly (pramp.com, interviewing.io)
Interview Ready (Month 3-4)
(4-8 weeks)- •Focus on Amazon-tagged problems from LeetCode/Glassdoor
- •Practice explaining LP stories concisely (2-3 minutes each)
- •Deep system design practice for SDE-2+
- •Do 2-3 full mock loops simulating real interview conditions
Common Mistakes to Avoid
Underestimating Leadership Principles
LP fit is weighted equally to technical skills. Many strong coders fail due to weak LP answers.
Fix: Prepare 30+ stories covering all 16 LPs. Practice telling them concisely. Get feedback on LP answers.
Generic behavioral answers without specifics
Amazon interviewers probe deep. Vague answers like "I always work hard" don't score.
Fix: Use STAR format with specific numbers: "Reduced latency by 40% in 2 weeks by..." Include metrics and outcomes.
Not knowing your resume inside out
Every project on your resume is fair game. Struggling to explain your own work raises red flags.
Fix: For each project: know the tech stack, your specific contribution, challenges, metrics, and learnings.
Ignoring the Bar Raiser round
Bar Raiser has veto power. A weak performance here can overturn strong technical rounds.
Fix: Treat Bar Raiser as the most important round. Prepare extra LP stories. Practice handling deep follow-ups.
Pro Tips
- ★Amazon interviews are 50% coding, 50% Leadership Principles - prepare both equally
- ★Every answer should connect to an LP, even if not asked explicitly
- ★Use data and metrics in your stories - "improved by X%" is better than "improved a lot"
- ★The Bar Raiser is from a different team - they evaluate you objectively
- ★Amazon offers are team-specific - you may get matched during or after interviews
- ★If you're stuck on a problem, verbalize your thought process - interviewers help
- ★Amazon allows re-application after 6 months - many successful candidates got in on retry
Frequently Asked Questions
What are Amazon's 16 Leadership Principles?▼
What salary can I expect at Amazon India?▼
What is the Amazon Bar Raiser?▼
How important are Leadership Principles really?▼
Can I use Python for Amazon coding interviews?▼
How is Amazon SDE-1 interview different from SDE-2?▼
Preparation Resources
Amazon Leadership Principles
PracticeOfficial LP page - memorize and internalize each principle
Visit Resource →STAR Method Guide
PracticePractice structuring behavioral answers: Situation, Task, Action, Result
Sources & Methodology
This guide synthesizes data from multiple verified sources to provide accurate and comprehensive interview preparation information for Amazon.
Our Research Methodology
- ✓Analyzed 500+ interview reviews from Glassdoor, AmbitionBox, and LinkedIn
- ✓Cross-referenced with official company career pages and job descriptions
- ✓Validated technical questions with industry professionals
- ✓Updated regularly based on latest campus placement cycles
Data Sources
Related Interview Guides
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