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Amazon Careers, Benefits, Review

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking.

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Amazon Culture and Values
Inclusive & Diverse
Inclusive & Diverse
Rise from Within
Rise from Within
Mission Driven
Mission Driven
Diversity of Opinions
Diversity of Opinions
Work/Life Harmony
Work/Life Harmony
Transparent & Candid
Transparent & Candid
Growth & Learning
Growth & Learning
Fast-Paced
Fast-Paced
Collaboration over Competition
Collaboration over Competition
Take Risks
Take Risks
Friends Outside of Work
Friends Outside of Work
Passion for Exploration
Passion for Exploration
Customer-Centric
Customer-Centric
Reward & Recognition
Reward & Recognition
Feedback Forward
Feedback Forward
Rapid Growth
Rapid Growth
Amazon Employee Benefits and Perks
🏥
Medical Insurance
🕰
Paid Time-Off
👩‍👦
Maternity Leave
🧘‍♂️
Mental Health Resources
🦄
Equity
👨‍👦
Paternity Leave
👩‍💻
Fully Distributed
💪
Flex-Friendly
🍱
Some Meals Provided
🍩
Snacks
🥳
Social Gatherings
🐶
Pet Friendly
⚡️
Company Retreats
🦷
Dental Insurance
❤️
Life insurance
💊
Health Savings Account (HSA)
Inside Amazon

Amazon’s ability to innovate on behalf of our customers relies on the perspectives and knowledge of people from all backgrounds. We believe that building a culture that is welcoming and inclusive is integral to people doing their best work and is essential to what we can achieve as a company. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace. We take steps to ensure employees have a sense of belonging, value, and opportunity. We have 13 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We actively recruit diverse candidates through our partnerships with historically Black colleges and universities, Hispanic-serving institutions and women’s colleges, and we have over 40,000 veterans and military spouses working at Amazon.

Amazon: A Global Innovator in E-Commerce and Technology


Amazon, founded by Jeff Bezos in 1994, has grown from an online bookstore into a global powerhouse in e-commerce, cloud computing, digital streaming, and artificial intelligence. Headquartered in Seattle, Washington, Amazon operates across multiple sectors, offering renowned products and services such as its online marketplace, Amazon Web Services (AWS), Amazon Prime, and devices like Echo and Fire tablets.


Key Products and Services:


  • E-commerce: A vast online marketplace serving millions of customers worldwide.
  • Cloud Computing: AWS delivers scalable cloud solutions for businesses and governments.
  • Digital Streaming: Amazon Prime Video and Amazon Music provide extensive entertainment options.
  • Consumer Electronics: Devices like Amazon Echo and Fire tablets revolutionize user interaction with technology.


Mission Statement:

Amazon aims to be Earth's most customer-centric company, the best employer, and the safest place to work.

Our Workplace

The customer is at the heart of everything we do. Amazon is a place where smart, passionate people obsess over customers and innovate on their behalf. Amazon has created more U.S. jobs in the last decade than any other company. These are jobs that pay an average of $18 per hour, more than double the federal minimum wage. We also invest in employees’ success. Amazon will spend over $1.2 billion to provide free skills training to employees—helping them further their careers in tech and in-demand roles such as cloud computing.

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Common Interview Questions at Amazon


Preparing for an interview at Amazon involves understanding their focus on both technical expertise and alignment with their 16 Leadership Principles. Expect a combination of behavioral and technical questions designed to assess your problem-solving abilities, cultural fit, and role-specific skills.


Behavioral Questions


Amazon places significant emphasis on behavioral questions to evaluate how candidates embody their Leadership Principles. These questions often begin with prompts like "Tell me about a time when..." Here are some examples:


  • Customer Obsession:
  • Describe a situation where you went above and beyond to meet a customer's needs.
  • Can you provide an example of how you used customer feedback to drive improvement?
  • Ownership:
  • Tell me about a time when you took responsibility for a project from start to finish.
  • Have you ever identified a business need and taken the initiative to address it without being asked?
  • Invent and Simplify:
  • Share an instance where you developed a creative solution to a complex problem.
  • How have you simplified a process or system to increase efficiency?
  • Deliver Results:
  • Discuss a time when you successfully met a challenging deadline.
  • How do you prioritize tasks to ensure timely delivery of projects?


When responding to behavioral questions, use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.


Technical Questions

For technical roles, Amazon assesses candidates through coding and system design questions. Examples include:


  • Coding and Algorithms:
  • Write a function to reverse a linked list.
  • How would you find the first non-repeated character in a string?
  • Implement an algorithm to detect a cycle in a graph.
  • System Design:
  • Design a scalable URL shortening service.
  • How would you architect a global e-commerce platform to handle millions of transactions per second?
  • Describe your approach to designing a distributed caching system.


For coding questions, proficiency in data structures, algorithms, and programming languages like Java, Python, or C++ is essential. System design questions evaluate your ability to architect complex systems, considering scalability, reliability, and maintainability.


Role-Specific Questions


Depending on the position, you may encounter questions tailored to specific responsibilities:


  • Product Management:
  • How would you improve Amazon Prime's subscription model?
  • Describe a product you launched and how you measured its success.
  • Data Science:
  • Explain the difference between supervised and unsupervised learning.
  • How would you handle missing data in a dataset?
  • Operations Management:
  • Describe a time you optimized a process to reduce costs.
  • How do you ensure quality and efficiency in a high-volume operation?


Thorough preparation involves reviewing Amazon's Leadership Principles, practicing coding problems, and understanding system design concepts. Reflecting on past experiences that demonstrate relevant skills and principles will help you articulate compelling responses during your interview.