Amazon Interview Experiences

Overview

How Amazon’s SDE interviews actually run, based on aggregated candidate reports (Blind, Glassdoor, GeeksforGeeks, 1Point3Acres). Amazon runs large-scale campus and off-campus SDE-1 drives in India, so this loop is common, not a rare, boutique process.

How to use this page

Read the round table first, then the experiences. Practise the coding patterns with edge cases, and prepare a separate STAR story for each Leadership Principle you expect to be asked about - reusing one in the Bar Raiser is a well-documented way to lose points.

Reported total compensation for an India-based SDE-1 fresher hire is in the ₹26-32 LPA range (Levels.fyi median ~₹26L; base commonly ₹18-22L plus sign-on bonus and RSUs), though offers vary by college tier and location - treat this as a reported range, not a guarantee.

Round-wise process

Round	Duration	What it tests
Online Assessment (OA)	~2-3 hrs total	2 DSA problems + work-simulation module + LP-aligned behavioural questions
Virtual onsite - Coding (1-2 rounds)	45-60 min each	DSA (medium-hard) + 1-2 Leadership Principle questions
Virtual onsite - Design	45-60 min	OOD for SDE-1; scalable system design for SDE-2+
Bar Raiser	45-75 min	Deep-dive Leadership Principles only, cross-checked against every other round
Hiring manager / offer	20-30 min	Team fit, location, compensation, close

Real interview experiences

Experience 1: SDE-1 (2025)

Profile: B.Tech CSE, tier-1 college, 2 internships, steady DSA practice, campus drive

Online Assessment

• Coding: maximum sum subarray with at most k elements, and cloning a graph with random pointers. Both needed all test cases passing, not just a partial solution.
• Work-simulation module: email-style prompts on prioritizing conflicting tasks and responding to a customer escalation.
• Behavioural MCQs framed around ownership and customer obsession - no free text, just scenario choices.

Virtual onsite - coding

• Design a data structure supporting insert/delete/getRandom in O(1) - hashmap + array-list approach.
• Longest substring with at most k distinct characters (sliding window), with a follow-up on optimising space.
• A Leadership Principle question slipped in mid-round: “Tell me about a time you went above and beyond for a customer.”

Virtual onsite - design

• Design a bookstore system (OOD): classes, relationships, methods, then a follow-up on handling concurrent orders.

Bar Raiser

• Design an LRU cache (medium-hard), then “How would you scale this bookstore system to millions of users?”
• Multiple deep follow-ups on a “took ownership of a project” story - the interviewer kept asking “what else did you consider, and why not that instead?”

Result: Selected What helped: A distinct story for each Leadership Principle question rather than recycling the same “led a project” anecdote across rounds.

Experience 2: SDE-1 (2024-2025)

Profile: B.Tech IT, tier-2 college, 1 internship, off-campus application

What differed

• OA coding leaned harder on graphs: Word Ladder-style shortest transformation, and merging k sorted lists.
• The design round asked for a simplified Twitter-style feed instead of a bookstore - same OOD depth, different domain.
• The Bar Raiser mixed one graph problem with unusually deep behavioural probing on a single “disagreed with a decision” story - three separate follow-up questions on that one answer.

Mistakes that hurt other candidates in the same drive

• Treating Leadership Principle questions as filler instead of real evaluation criteria in the technical rounds
• Reusing the same STAR story across two different rounds - Bar Raisers can see prior interviewer feedback
• Jumping into the design round without asking about scale or constraints first

Result: Selected Takeaway: Amazon’s technical bar is real, but a thin, memorized Leadership Principles story falls apart faster here than a slightly rougher technical answer with a clear thought process.

Questions that come up often

Coding / technical

1. Maximum sum subarray with at most k elements
2. Clone a graph with random pointers
3. Longest substring with at most k distinct characters - sliding window
4. Design an LRU cache - hashmap + doubly linked list
5. Merge k sorted lists
6. Design a data structure supporting insert/delete/getRandom in O(1)

System design / OOD

1. Design a parking lot or bookstore system (OOD, SDE-1)
2. Design a URL shortener or distributed cache
3. Design a scalable order-processing system (SDE-2+)

Leadership Principles / behavioural

1. Tell me about a time you went above and beyond for a customer (Customer Obsession)
2. Describe a decision you made with incomplete data (Bias for Action)
3. Tell me about a time you disagreed with your team’s direction (Have Backbone; Disagree and Commit)
4. Give an example where you simplified something overly complex (Invent and Simplify)
5. Tell me about the highest standard you’ve held a project to (Insist on the Highest Standards)

Practical tips for Amazon

• Solve the OA’s coding problems for all test cases, not just the visible ones - partial credit is less forgiving here.
• Treat the work-simulation module as a real evaluation, not a formality - it’s scored against the Leadership Principles too.
• Prepare a different STAR story for each Leadership Principle you’re likely to be asked about, and never repeat one across rounds.
• For design rounds, ask about scale and constraints before sketching a solution - Amazon interviewers note candidates who jump straight to an answer.
• In the Bar Raiser, expect the interviewer to keep pulling on one story with “what else did you consider” - have real alternatives ready, not just the option you picked.

HR interview

Amazon doesn’t run a separate generic HR round - Leadership Principles evaluation is spread across every stage, and the Bar Raiser doubles as the deepest behavioural check. Prepare STAR frameworks for the Leadership Principles on the dedicated page.

HR interview questions→

STAR frameworks for Amazon’s 16 Leadership Principles.

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