Ownership & Impact: Amazon gives engineers substantial ownership over features and services, even early in your career. You often work on systems that scale globally and impact millions.
Bar-Raising Peers: You're surrounded by talented engineers, and the emphasis on hiring “bar raisers” means you learn a lot from your colleagues.
Well-Defined Engineering Culture: Strong documentation, operational excellence, and focus on metrics. Leadership Principles guide day-to-day decisions.
Career Growth: Internal mobility and opportunities to work on different teams or technologies (e.g., AWS, Alexa, retail, etc.) are strong.
Cons:
Work-Life Balance: Can be poor depending on the team; on-call duties and deadlines often stretch personal time.
Manager Variability: Quality of experience depends heavily on your manager; support for career growth and well-being varies.
Promotion Process: Competitive and opaque, with unclear criteria at times.
Bureaucracy & Coordination: Cross-team collaboration can be slow and require navigating internal politics.
PIP Culture: Performance management can be harsh; PIPs are used frequently, and even strong performers may face them due to shifting expectations or organizational changes.
The journey began with an online assessment containing two coding problems (one algorithmic, one mathematical) and a brief work-style survey. Following a successful screen, I completed a 45-minute phone interview focused entirely on behavioral quest
The first interview was an online assessment where they asked a series of data structures and algorithm, LeetCode-style questions. Then there was a phone screen with a senior engineer. It was more of the same problems.
3 rounds, single day. 1st round was just Amazon Leadership Principles and how I relate to that. 2nd round was LLD parking question. 3rd was design a class to choose servers based on utilization.
The journey began with an online assessment containing two coding problems (one algorithmic, one mathematical) and a brief work-style survey. Following a successful screen, I completed a 45-minute phone interview focused entirely on behavioral quest
The first interview was an online assessment where they asked a series of data structures and algorithm, LeetCode-style questions. Then there was a phone screen with a senior engineer. It was more of the same problems.
3 rounds, single day. 1st round was just Amazon Leadership Principles and how I relate to that. 2nd round was LLD parking question. 3rd was design a class to choose servers based on utilization.