Amazon Recruitment Syllabus

1. Amazon Recruitment Rounds Overview

Amazon hiring process varies by role, but for most software, technical and graduate positions, the selection flow is:

1. Online Assessment (Aptitude + Technical)
2. Technical Interview(s)
3. Managerial / System Design Interview (for technical roles)
4. HR / Behavioral Interview based on Amazon Leadership Principles

Some roles may have multiple technical rounds or coding rounds depending on level (SDE I / SDE II / Intern / Support / Analyst).

2. Amazon Online Assessment (OA) Syllabus

The OA generally consists of the following components:

A. Aptitude (General Cognitive Ability)

• Logical reasoning
• Analytical thinking
• Data interpretation
• Pattern recognition
• Numerical aptitude
• Passages and reading comprehension

B. Work Simulation / Work Style Assessment

This section evaluates behavioral traits based on Amazon’s Leadership Principles. Candidates choose the best and worst responses to workplace scenarios.

C. Technical MCQs (for technical roles only)

Topics may include:

• DSA fundamentals
• Time and space complexity
• Operating systems basics
• OOP concepts
• DBMS and SQL
• Computer networks
• Cloud computing basics

D. Coding Round (SDE / Technical roles)

1–2 coding problems focused on:

• Data structures and algorithms
• Strings, arrays, matrices
• Recursion and backtracking
• Hashing
• Sorting and searching
• Dynamic programming
• Graphs and trees

The platform usually evaluates correctness and performance of the code.

3. Detailed Technical Syllabus for Amazon (SDE / Developer / Engineering Roles)

Data Structures

• Arrays and strings
• Linked lists
• Stacks and queues
• Hash maps and hash sets
• Trees and binary trees
• Binary search trees
• Heaps and priority queues
• Tries
• Graphs

Algorithms

• Searching and sorting
• Sliding window and two pointers
• Greedy algorithms
• Recursion and backtracking
• Divide and conquer
• Graph algorithms (BFS, DFS, topological sort)
• Shortest path algorithms (Dijkstra, Bellman-Ford)
• Dynamic programming

Programming Fundamentals

• OOP concepts (inheritance, polymorphism, abstraction, encapsulation)
• Exception handling
• Multithreading basics
• Memory management
• Design patterns (factory, singleton, observer, strategy)

System Design (for experience-based roles)

• High level design
• Microservices architecture
• Load balancing and caching
• Distributed systems fundamentals
• SQL vs NoSQL
• S3, DynamoDB, Redis, Kafka (conceptual level)

4. Non-Technical / Analyst Roles Syllabus

For business analyst, program manager, operations roles:

Analytical Ability

• Data interpretation
• Case-based questions
• Excel or spreadsheet logic
• Basic statistics

Situation-based Questions

Work simulation based on workplace priorities, customer interactions and issue escalation.

Behavioral

Questions aligned to Amazon Leadership Principles:

• Ownership
• Customer obsession
• Learn and be curious
• Deliver results
• Dive deep
• Bias for action
• Earn trust

Candidates must demonstrate examples from their real experience or hypothetical situations.

5. Communication and HR Round Syllabus

Focus areas:

• Past projects and achievements
• Personal motivation and goals
• Strengths and weaknesses
• Teamwork and conflict handling
• Work pressure and deadline management
• Why Amazon and what you know about the company
• Salary expectations and relocation flexibility

Behavioral answers are expected to follow the STAR Method:

• Situation
• Task
• Action
• Result

6. Role-Specific Additions

For Amazon Cloud / DevOps / Support Engineers

• Linux fundamentals
• Networking (TCP/IP, DNS, routing)
• Scripting knowledge (Python / Bash)
• AWS core services (EC2, S3, IAM, VPC, Lambda)
• CI/CD fundamentals
• Monitoring and logging

For Data Engineer / Data Scientist

• SQL
• ETL and data warehousing
• Python
• Pandas / Numpy
• Statistics
• ML models basics
• Database design

For Operations / Warehouse / Logistics Roles

• Work simulation assessment
• Numerical and logical ability
• Safety and compliance guidelines
• Inventory and supply chain scenarios

7. Difficulty Level and Selection Strategy

• Amazon prioritizes problem-solving and culture fit
• Strong coding performance is critical for engineering roles
• Leadership principles determine final selection even if technical rounds go well