How to use LeetCode to prepare for Amazon interviews
Amazon's technical interviews are known for being rigorous, structured, and focused on both coding and problem-solving. If you’re serious about landing a role at Amazon, your preparation needs to be just as methodical, and one of the most effective tools available is LeetCode problems.
In this blog, we’ll explain how to use LeetCode Amazon problems strategically to prepare for coding interviews, behavioral assessments, and systems thinking—all tailored to Amazon’s unique interview style.
Grokking the Coding Interview Patterns
I created Grokking the Coding Interview because I watched too many talented engineers fail interviews they should have passed. At Microsoft and Meta, I saw firsthand what separated the candidates who succeeded from the ones who didn't. It wasn't how many LeetCode problems they'd solved. It was whether they could look at an unfamiliar problem and know how to approach it the right way. That's what this course teaches. Rather than throwing hundreds of disconnected problems at you, we organize the entire coding interview around 28 fundamental patterns. Each pattern is a reusable strategy. Once you understand two pointers, for example, you can apply them to dozens of problems you've never seen before. The course walks you through each pattern step by step, starting with the intuition behind it, then building through increasingly complex applications. As with every course on Educative, you will practice in a hands-on way with 500+ challenges, 17 mock interviews, and detailed explanations for every solution. The course is available in Python, Java, JavaScript, Go, C++, and C#, so you can prep in the language you'll actually use in your interview. Whether you're preparing for your first FAANG loop or brushing up after a few years away from interviewing, this course will give you a repeatable framework for cracking the coding interview.
Why LeetCode is effective for Amazon interview prep#
Amazon frequently tests core algorithmic skills in its interviews. LeetCode’s curated problem sets make it easy to:
Practice exactly the types of problems Amazon asks
Build pattern recognition with real Amazon tags
Simulate timed interviews with difficulty-level filtering
If used correctly, LeetCode helps you develop not only problem-solving speed but also the structured communication Amazon looks for.
You’ll begin to recognize how seemingly unique problems share a common structure — and that pattern awareness is critical to succeeding under pressure. LeetCode Amazon strategies work especially well when combined with deliberate review and System Design prep.
Step 1: Start with Amazon-tagged problems on LeetCode#
LeetCode has a dedicated set of problems tagged with "Amazon" — these are user-reported problems frequently seen in Amazon interviews.
How to use them:
Go to LeetCode → Explore → Top Interview Questions → Amazon
Filter by difficulty: start with Easy/Medium, then move to Hard
Track your accuracy, time taken, and where you needed hints
Focus on:
Arrays, Strings, Trees, Graphs
Sliding Window, Two Pointers, BFS/DFS, Hash Maps
Dynamic Programming (DP-lite problems especially)
Build mastery over ~70–100 Amazon-tagged problems, prioritizing consistency over quantity. Don’t just check off problems — analyze them. Understand how you would explain each one to someone else.
Step 2: Practice with behavioral alignment#
Amazon puts significant emphasis on behavioral interviews. While LeetCode is for coding, your explanations should also reflect AWS Leadership Principles.
What to do:
After solving each problem, write or speak aloud how you approached it
Focus on principles like "Dive Deep," "Deliver Results," and "Are Right, A Lot"
When stuck, explain how you navigated uncertainty or re-evaluated your approach
Being able to tie your problem-solving mindset to Amazon’s culture is a secret edge. Your thought process becomes part of the evaluation.
Grokking the Behavioral Interview
Many times, it’s not your technical competency that holds you back from landing your dream job, it’s how you perform on the behavioral interview. Whether you’re a software engineer, product manager, or engineering manager, this course will give you the tools to thoroughly prepare for behavioral and cultural questions. But beyond even technical roles, this would be useful for anyone, in any profession. As you progress, you'll be able to use Educative's new video recording widget to record yourself answering questions and assess your performance. By the time you’ve completed the course, you'll be able to answer any behavioral question that comes your way - with confidence.
Step 3: Simulate the real interview experience#
Amazon’s online assessments and technical rounds are timed and structured. Simulate this:
How:
Set a 30–45 minute timer per Medium problem
Do 1–2 problems per session without distractions
Think out loud or record yourself walking through the logic
You can also try LeetCode’s mock interview feature or simulate a round with friends. Recreate the actual pressure and mental flow so you’re not surprised when it counts.
Goal: Build fluency, not just correctness. Interviewers care how you solve a problem as much as whether you do. Are you organized? Can you debug edge cases? Do you adapt when stuck?
Step 4: Identify and drill your weak patterns#
You’ll start to notice recurring patterns that trip you up — maybe it’s Tree recursion, backtracking, or heap problems.
How to target them:
Track every question you struggled with in a spreadsheet
Group by topic, tag, and failure reason
Re-attempt failed problems after 3–5 days
Also, review editorials and top-voted solutions. The goal is to learn new techniques and alternate approaches. Sometimes, a different way of looking at a problem unlocks clarity.
Step 5: Tie it together with System Design and STAR prep#
Amazon SDE II and above roles include System Design rounds. While LeetCode focuses on data structures and algorithms, you should complement it with:
System Design questions (Scalable chat app, Rate limiter, etc.)
STAR method behavioral stories that map to Amazon principles
Schedule weekly practice on mock design interviews and behavioral walkthroughs. Use resources like online courses or watch mock interviews on YouTube.
Grokking the Modern System Design Interview
For a decade, when developers talked about how to prepare for System Design Interviews, the answer was always Grokking System Design. This is that course — updated for the current tech landscape. As AI handles more of the routine work, engineers at every level are expected to operate with the architectural fluency that used to belong to Staff engineers. That's why System Design Interviews still determine starting level and compensation, and the bar keeps rising. I built this course from my experience building global-scale distributed systems at Microsoft and Meta — and from interviewing hundreds of candidates at both companies. The failure pattern I kept seeing wasn't a lack of technical knowledge. Even strong coders would hit a wall, because System Design Interviews don't test what you can build; they test whether you can reason through an ambiguous problem, communicate ideas clearly, and defend trade-offs in real time (all skills that matter ore than never now in the AI era). RESHADED is the framework I developed to fix that: a repeatable 45-minute roadmap through any open-ended System Design problem. The course covers the distributed systems fundamentals that appear in every interview – databases, caches, load balancers, CDNs, messaging queues, and more – then applies them across 13+ real-world case studies: YouTube, WhatsApp, Uber, Twitter, Google Maps, and modern systems like ChatGPT and AI/ML infrastructure. Then put your knowledge to the test with AI Mock Interviews designed to simulate the real interview experience. Hundreds of thousands of candidates have already used this course to land SWE, TPM, and EM roles at top companies. If you're serious about acing your next System Design Interview, this is the best place to start.
Step 6: Use the LeetCode Discuss community strategically#
LeetCode’s Discuss forums are filled with insights:
Find real Amazon interview questions and experiences and recent questions
Read top-voted solutions to learn new patterns and optimizations
Ask for feedback on your approach or explanation style
Use upvoted discussions to learn not just what worked, but why, and how you can adopt those mindsets in your own prep.
Step 7: Learn from LeetCode’s premium features#
LeetCode Premium offers:
Access to real Amazon interview question lists by role and level
Sorting by frequency and tag (e.g., Amazon SDE I vs SDE II)
Detailed company-specific mock interviews
It’s a worthwhile investment if you’re applying to multiple roles or aiming for senior positions. Use the premium problems to build a high-confidence core set you can review multiple times.
Step 8: Build a consistent review habit#
Mastery comes from repetition and reflection:
Revisit tough problems weekly
Summarize insights in your own words
Track common patterns and edge cases in a journal or Notion doc
Avoid shallow repetition. Aim for deep learning. Each review should reinforce patterns and strengthen mental models.
Step 9: Translate solutions into whiteboard-ready explanations#
Amazon interviews are interactive. You won’t have LeetCode’s IDE.
Practice writing solutions by hand or on a whiteboard
Emphasize time/space trade-offs and decision-making logic
Practice saying “Here’s my base case” and “Here’s the recurrence” aloud
The more clearly you can explain your thinking, the stronger your impression will be, even if you make a small mistake in implementation.
Step 10: Use LeetCode to sharpen your debugging mindset#
Amazon values engineers who can debug calmly under pressure.
Use LeetCode problems to simulate unfamiliar or ambiguous inputs
Walk through the inputs step-by-step to simulate live debugging
Discuss failure modes out loud (e.g., "What if the array is empty?")
The goal is to build resilience and comfort with imperfect conditions — something Amazon teams face daily. Integrating LeetCode Amazon problems into your debugging drills helps you strengthen both technical depth and mental agility.
Step 11: Track time-to-solve and aim for consistency#
Speed matters at Amazon, but not at the cost of clarity. Tracking your time-to-solve on each LeetCode problem helps you:
Spot which topics are your slowest
Determine when you're ready to simulate real interviews
Identify where you overthink or second-guess
Use this data to create a strategy that prioritizes both speed and precision.
Step 12: Create your own mock interview log#
Treat your prep like a real project by building a structured log of mock interviews. For each session, record:
Problem name and topic
Time taken and whether you finished
How you explained your approach
Leadership Principles referenced (if any)
This log helps you spot progress, reinforce behavioral alignment, and fine-tune your LeetCode Amazon strategy.
Final thoughts#
LeetCode is a powerful tool for Amazon interview prep — but only if you use it intentionally. Focus on solving problems tagged with Amazon, simulate the real interview format, and align your communication with Leadership Principles.
Don’t grind endlessly. Practice with reflection, repetition, and structure. Combine technical problem-solving with clear thinking and Amazon-specific behavioral fluency.
Use LeetCode Amazon questions not just to solve, but to think like an Amazon engineer.
