Amazon Interview Process 2026: Leadership Principles, Loop Structure, and How to Pass

Amazon's Interview Philosophy

Amazon's hiring process is unlike any other major tech company. While Google tests algorithmic depth and Meta tests product sense, Amazon tests one thing above all: adherence to their 16 Leadership Principles (LPs). Every single interview round — for engineers, PMs, data scientists, and managers — is filtered through these principles.

Understanding this isn't just useful context. It's the entire key to passing.

The 16 Leadership Principles (Know These Cold)

Principle	What They're Really Testing
Customer Obsession	Do you start with the customer or the technology?
Ownership	Do you act beyond your job description?
Invent and Simplify	Can you find creative, simpler solutions?
Are Right, A Lot	Do you have strong judgment? How do you update beliefs?
Learn and Be Curious	How do you grow? What have you taught yourself?
Hire and Develop the Best	How do you raise the bar for your team?
Insist on the Highest Standards	Do you tolerate mediocrity?
Think Big	Can you think beyond the obvious solution?
Bias for Action	Do you move fast with incomplete information?
Frugality	Can you accomplish more with less?
Earn Trust	How do you build credibility?
Dive Deep	Do you understand details or just delegate?
Have Backbone; Disagree and Commit	Can you push back constructively and then commit?
Deliver Results	Do you actually ship?
Strive to Be Earth's Best Employer	(Management roles)
Success and Scale Bring Broad Responsibility	(Senior roles)

The Interview Structure

Stage 1: Online Assessment (SWE roles)

Two LeetCode-style problems, 90 minutes. Typically medium difficulty. Passing threshold is usually both problems solved correctly. Some roles also include a work simulation or debugging exercise.

Stage 2: Phone/Video Screen (30-45 min)

One coding problem + 1-2 behavioral questions. The behavioral questions will explicitly reference Leadership Principles. Expect: "Tell me about a time you had to deliver results under a tight deadline" (Deliver Results) or "Tell me about a time you disagreed with a team decision" (Have Backbone).

Stage 3: The Loop (4-6 rounds, done in one day)

This is Amazon's onsite equivalent. Typically:

• 1-2 coding rounds (algorithms/data structures)
• 1 system design round (senior roles)
• 2-3 behavioral rounds (one per LP cluster)
• 1 "Bar Raiser" round (a senior Amazonian from another team)

The Bar Raiser

This is unique to Amazon. The Bar Raiser is an independent interviewer from outside your hiring team whose job is to maintain Amazon's hiring bar. They can veto a hire even if every other interviewer wants to extend an offer. They focus heavily on LPs and senior signal.

How to Prepare STAR Stories for Amazon

For Amazon, you need at least 15 STAR stories covering all 16 LPs. Many stories can cover multiple principles — but you need enough variety that you're not repeating the same story in the same loop.

Story preparation framework:

1. List your top 8-10 career experiences (shipped features, difficult projects, team conflicts, promotions, failures)
2. Map each story to 2-3 LPs it covers
3. Write each story in full STAR format
4. Practice until you can tell each story clearly in 2-3 minutes without notes

Stories you absolutely must have:

• A time you failed (Earn Trust + Ownership)
• A time you disagreed with your manager and committed anyway (Have Backbone)
• A time you went beyond your job description (Ownership)
• A time you simplified a complex process (Invent and Simplify)
• A time you delivered under pressure with limited resources (Frugality + Deliver Results)
• A time you caught a mistake others missed (Dive Deep + Insist on High Standards)

Coding Interview Tips (Amazon Specific)

Amazon's coding rounds are similar to LeetCode medium/hard, but they weight communication heavily. Think out loud — literally narrate your thought process. Amazon interviewers are trained to evaluate how you think, not just whether you get the right answer.

Before coding:

1. Clarify the problem (ask about edge cases)
2. State your approach and time/space complexity
3. Walk through a small example before writing code
4. Code cleanly with variable names that make sense

What Gets Candidates Rejected at Amazon

1. Generic STAR answers — "We had a challenge and I worked with the team to solve it." Amazon interviewers probe for specifics. If you can't name the metric, the stakeholder, and the specific action you took, you'll fail.

2. Using "we" instead of "I" — Amazon wants to know what YOU did, not what your team did. They'll ask you directly: "What was your specific contribution?"

3. Not knowing the LPs — You should be able to recite them and have a story for each. Interviewers literally check boxes for which LPs your stories demonstrate.

4. Ignoring the customer — Any answer that doesn't mention customer impact is weaker at Amazon. Add a customer lens to every story.

Compensation at Amazon (2026)

Amazon's compensation structure is unique: base salary is capped relatively low ($185-220K for senior SWEs) but the RSU grant is large and front-loaded (larger grants in years 1-2).

Level	Base	RSU (4yr)	Total Comp
SDE II (L5)	$185K	$200-300K	$240-305K
SDE III (L6)	$210K	$400-600K	$330-450K
Principal SDE (L7)	$220K	$700K-1M+	$440-730K

Always negotiate RSUs at Amazon — the base is largely fixed but RSU grants have real flexibility.