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6-Month Amazon L6/L7 Interview Study Plan

📅 Complete Preparation Timeline

This comprehensive study plan is designed to prepare you for Amazon L6/L7 Engineering Manager interviews over 6 months, requiring 15-20 hours per week of focused preparation.

Success Story

January 2024 L6 Hire: "Following a structured timeline was crucial. I spent 6 months preparing, landed multiple L6 offers."

📚 Real Timeline Examples

📝 See Actual Preparation Timelines for detailed day-by-day schedules from successful candidates:

  • 8-Week L6 Intensive: IC to Manager transition success story
  • 12-Week L7 Strategic: Director to Principal Manager approach
  • 6-Week Recovery: Second attempt success after targeted improvement

🎯 Study Plan Overview

gantt
    title 6-Month Interview Preparation Timeline
    dateFormat  YYYY-MM-DD
    section Foundation
    Fundamentals & Assessment    :2024-01-01, 30d
    Core Concepts                :30d
    section Deep Learning
    System Design Mastery        :2024-02-01, 60d
    Advanced Topics              :30d
    section Practice
    Intensive Practice           :2024-04-01, 30d
    Mock Interviews              :30d

📊 Time Allocation by Role

For comprehensive L6 vs L7 differences and expectations, see L6 vs L7 Complete Guide.

Preparation Time Allocation

Level Total Hours Weekly Hours Success Rate
L6 360-400 15-17 65% with proper prep
L7 400-450 17-20 45% with proper prep

Detailed Time Breakdown

Area L6 Hours L6 Weekly L7 Hours L7 Weekly
System Design 120 (33%) 5 hrs 150 (38%) 6 hrs
Coding/Technical 100 (28%) 4 hrs 100 (25%) 4 hrs
Leadership/Behavioral 80 (22%) 3 hrs 90 (23%) 3.5 hrs
Mock Interviews 60 (17%) 2.5 hrs 60 (14%) 2.5 hrs
Total 360 15 400 16.5

📆 Month-by-Month Breakdown

Month 1: Foundation Building

Week 1: Assessment & Setup

Day 1-2: Initial Assessment

Morning (1 hour) - [ ] Complete self-assessment quiz - [ ] Identify target level (L6 vs L7) - [ ] Document current gaps

Evening (1.5 hours) - [ ] Set up study environment - [ ] Create tracking spreadsheet - [ ] Join study communities

Resources Needed: - LeetCode Premium - System Design Course - AWS Free Tier Account

Day 3-4: Baseline Testing

Tasks: - [ ] Solve 3 LeetCode problems (measure current level) - [ ] Complete 1 system design (45 minutes) - [ ] Write 2 STAR stories

Baseline Metrics to Track:

Python
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baseline_metrics = {
    "leetcode_easy_time": 0,  # Target: 15 min
    "leetcode_medium_time": 0,  # Target: 30 min
    "system_design_completeness": 0,  # Target: 80%
    "star_story_quality": 0,  # Target: 4/5
}

Day 5-7: Study Plan Creation
  • Create 6-month calendar
  • Block daily study time
  • Schedule weekly reviews
  • Plan first mock interview (Week 8)

Week 2: Core Fundamentals

Daily Schedule Template
Markdown
6:00-7:00 AM: Coding practice
- Warm-up: 1 easy (15 min)
- Main: 1 medium (35 min)
- Review: Solutions (10 min)

12:00-12:30 PM: Reading
- System design articles
- AWS documentation
- Leadership principles

8:00-9:30 PM: Deep work
- Mon/Wed/Fri: System design
- Tue/Thu: Behavioral stories
- Sat: Mock practice
- Sun: Week review
Week 2 Specific Goals
  • 10 LeetCode problems solved
  • 2 system designs completed
  • 5 STAR stories written
  • AWS: Understand EC2, S3, DynamoDB basics

Week 3-4: Building Momentum

Coding Focus (Week 3)

Pattern: Two Pointers - Day 15: Two Sum, 3Sum - Day 16: Container With Most Water - Day 17: Trapping Rain Water - Day 18: Remove Duplicates - Day 19: Practice day - Day 20-21: Review and reinforce

System Design Focus (Week 4)

Topic: Distributed Systems Basics - Day 22: CAP Theorem deep dive - Day 23: Consistency models - Day 24: Design URL shortener - Day 25: Design Pastebin - Day 26: Caching strategies - Day 27-28: First mock system design

Month 1 Deliverables Checklist: - [ ] 40 coding problems solved - [ ] 4 system designs completed - [ ] 10 STAR stories drafted - [ ] 5 AWS services studied - [ ] 1 mock interview scheduled

Month 2: Technical Deep Dive

Week 5-6: Advanced Algorithms

Coding Patterns Schedule
Day Pattern Problems Time
29-30 Sliding Window 5 problems 2.5 hrs
31-32 BFS/DFS 5 problems 2.5 hrs
33-34 Binary Search 5 problems 2.5 hrs
35-36 Dynamic Programming 5 problems 3 hrs
37-38 Heap/Priority Queue 5 problems 2.5 hrs
39-40 Graph Algorithms 5 problems 3 hrs
41-42 Review and Practice 10 problems 5 hrs

Week 7-8: AWS Services Mastery

Service Learning Schedule
Markdown
Week 7:
- Mon: DynamoDB deep dive (partitioning, GSI/LSI)
- Tue: S3 architecture (consistency, storage classes)
- Wed: Lambda & serverless (cold starts, limits)
- Thu: SQS/SNS (fan-out patterns, DLQ)
- Fri: API Gateway & CloudFront
- Weekend: Build sample project

Week 8:
- Mon: RDS & Aurora (replication, scaling)
- Tue: ECS/EKS (container orchestration)
- Wed: Kinesis (streaming, sharding)
- Thu: ElastiCache (Redis vs Memcached)
- Fri: CloudWatch & X-Ray (monitoring)
- Weekend: Second mock interview

Month 2 Deliverables: - [ ] 80 total coding problems (cumulative) - [ ] 8 system designs (cumulative) - [ ] 20 STAR stories (all LPs covered) - [ ] 10 AWS services mastered - [ ] 2 mock interviews completed

Month 3: System Design Mastery

Week 9-10: Design Patterns

Daily Design Practice
Markdown
Week 9 - Core Patterns:
Day 57: Microservices vs Monolith
Day 58: Event-driven architecture
Day 59: CQRS and Event Sourcing
Day 60: Design Twitter
Day 61: Design Uber
Day 62-63: Mock and review

Week 10 - Advanced Patterns:
Day 64: Cell-based architecture
Day 65: Service mesh
Day 66: API Gateway patterns
Day 67: Design YouTube
Day 68: Design WhatsApp
Day 69-70: Mock with feedback

Week 11-12: Scale Challenges

L6 vs L7 Design Problems

L6 Focus Problems: 1. Design a ride-sharing service (Uber/Lyft) 2. Design a video streaming platform 3. Design a payment system 4. Design a notification system 5. Design a search engine

L7 Focus Problems: 1. Design AWS S3 from scratch 2. Design a global e-commerce platform 3. Design a machine learning platform 4. Design a multi-region database 5. Design a container orchestration system

Month 3 Deliverables: - [ ] 100 coding problems (cumulative) - [ ] 16 system designs (cumulative) - [ ] All STAR stories polished - [ ] 3 mock interviews completed - [ ] Design portfolio created

Month 4: Leadership & Behavioral

Week 13-14: Leadership Principles Deep Dive

Leadership Principles Story Development Schedule
Markdown
Week 13 - Core LPs:
Mon: Customer Obsession (3 stories)
Tue: Ownership (3 stories)
Wed: Invent and Simplify (3 stories)
Thu: Are Right, A Lot (3 stories)
Fri: Learn and Be Curious (3 stories)
Weekend: Practice delivery

Week 14 - Additional LPs:
Mon: Hire and Develop (3 stories)
Tue: Highest Standards (3 stories)
Wed: Think Big (3 stories)
Thu: Bias for Action (3 stories)
Fri: Remaining LPs (6 stories)
Weekend: Full behavioral mock

Week 15-16: Integration Practice

Combined Practice Schedule
  • Daily: 1 coding + 1 behavioral
  • Every other day: System design
  • Weekly: Full mock loop
  • Weekend: Review and refine

Month 4 Deliverables: - [ ] 120 coding problems (cumulative) - [ ] 20 system designs (cumulative) - [ ] 48+ STAR stories (3 per LP) - [ ] 5 mock interviews completed - [ ] Weak areas identified

Month 5: Intensive Practice

Week 17-18: Problem Solving Sprint

Daily Sprint Schedule
Markdown
Morning (6-8 AM):
- 2 LeetCode mediums (30 min each)
- Review solutions (20 min)
- Note patterns (10 min)

Lunch (12-1 PM):
- System design reading
- AWS service review
- LP story practice

Evening (7-10 PM):
- Full system design (60 min)
- Behavioral practice (30 min)
- Review and plan (30 min)

Week 19-20: Mock Interview Marathon

Mock Interview Schedule

Week 19: - Mon: Coding mock (Pramp) - Tue: System design mock (friend) - Wed: Behavioral mock (coach) - Thu: Review all feedback - Fri: Address weak areas - Sat: Full loop simulation - Sun: Rest and review

Week 20: - Mon-Wed: Daily mini-mocks - Thu: Amazon employee mock - Fri: Bar Raiser practice - Weekend: Feedback integration

Month 5 Deliverables: - [ ] 140 coding problems (cumulative) - [ ] 28 system designs (cumulative) - [ ] All stories memorized - [ ] 8+ mock interviews - [ ] Consistent 4+ scores in mocks

Month 6: Final Polish

Week 21-22: Targeted Refinement

Weakness Targeting
Python
# Track and improve weak areas
weak_areas = {
    "graph_problems": {"current": 60, "target": 90},
    "distributed_systems": {"current": 70, "target": 95},
    "think_big_stories": {"current": 2, "target": 5},
    "speaking_pace": {"current": "fast", "target": "measured"}
}

# Daily focus on lowest scoring area
for area in sorted(weak_areas, key=lambda x: weak_areas[x]["current"]):
    practice_intensively(area)

Week 23: Peak Week

Final Week Schedule
Markdown
Monday - Wednesday:
- Light practice only (1 hour/day)
- Review notes
- Polish top stories
- Mental preparation

Thursday - Friday:
- Mock interview conditions
- Full loop simulation
- Early sleep

Weekend before:
- Saturday: Light review
- Sunday: Rest completely

Week 24: Interview Week

Interview Day Preparation

Day Before: - [ ] Review top 10 stories - [ ] Practice power poses - [ ] Test all technology - [ ] Prepare questions to ask - [ ] Get 8+ hours sleep

Interview Day:

Markdown
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-2 hours: Light breakfast
-1 hour: Warm-up problem
-30 min: Review notes
-15 min: Power poses
0: Begin interview

Month 6 Deliverables: - [ ] 150+ coding problems - [ ] 30+ system designs - [ ] 10+ mock interviews - [ ] All stories polished - [ ] 90%+ confidence level

📖 Weekly Study Schedule Template

Optimal Weekly Schedule (15 hours)

Day Morning (1hr) Evening (1-2hrs) Focus
Monday Coding practice System design study Technical
Tuesday AWS service deep dive Behavioral stories Mixed
Wednesday Coding practice System design practice Technical
Thursday Leadership principles Technical reading Leadership
Friday Coding practice Week review & planning Review
Saturday Mock interview (2-3hrs) Feedback analysis Practice
Sunday System design (2hrs) Portfolio work Projects

Daily Minimums

  • Coding: 1 problem (even on non-coding days)
  • Reading: 1 technical article
  • Review: 15 minutes of previous work
  • Notes: Document one key learning

📚 Resource Schedule

Books by Month

  1. Month 1: "Cracking the Coding Interview" (review)
  2. Month 2: "Designing Data-Intensive Applications"
  3. Month 3: "System Design Interview" (Alex Xu)
  4. Month 4: "The Manager's Path" (leadership focus)
  5. Month 5: "Building Microservices" (architecture)
  6. Month 6: Review and reference only

Online Courses Timeline

  • Weeks 1-4: AWS Certified Solutions Architect prep
  • Weeks 5-8: Distributed Systems course (MIT/Stanford)
  • Weeks 9-12: System Design Interview course
  • Weeks 13-16: Leadership/Management course
  • Weeks 17-24: Practice and mock interviews only

🎯 Milestone Checkpoints

Month 2 Checkpoint

  • 50 coding problems solved (80% success rate)
  • 6 system designs (can complete in 45 minutes)
  • 15 STAR stories (memorized)
  • 5 AWS services (expert level)

Month 4 Checkpoint

  • 100 coding problems (90% success rate)
  • 18 system designs (production-ready)
  • 25 STAR stories (polished)
  • 10 AWS services (expert level)
  • 3 successful mock interviews

Month 6 Target

  • 150+ coding problems
  • 30 system designs
  • 30 STAR stories
  • 15 AWS services
  • 8+ mock interviews
  • 90% confidence level

🔄 Adaptation Strategies

If Behind Schedule

  1. Prioritize: Focus on system design and leadership
  2. Extend: Add 1 month if needed
  3. Intensify: Increase to 20 hours/week
  4. Get Help: Consider coaching/tutoring

If Ahead of Schedule

  1. Deepen: Add more L7-specific content
  2. Broaden: Include adjacent technologies
  3. Mentor: Help others (teaching reinforces)
  4. Innovate: Create novel solutions

If Struggling with Specific Area

  1. Double Down: Allocate 50% more time
  2. Get Support: Find specialized resources
  3. Practice More: Increase repetitions
  4. Simplify: Break into smaller chunks

📊 Progress Tracking

Weekly Metrics

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# Track these every Sunday
weekly_metrics = {
    "coding_problems": 0,      # Target: 6-8
    "system_designs": 0,        # Target: 1-2
    "mock_interviews": 0,       # Target: 0.5
    "study_hours": 0,          # Target: 15
    "confidence_level": 0,      # Scale: 1-10
}

Enhanced Weekly Tracker

Python
# Week X Progress
week_x = {
    "coding_problems": {
        "target": 10,
        "completed": 0,
        "success_rate": 0
    },
    "system_designs": {
        "target": 2,
        "completed": 0,
        "quality_score": 0
    },
    "behavioral_stories": {
        "target": 5,
        "completed": 0,
        "memorized": 0
    },
    "mock_interviews": {
        "target": 1,
        "completed": 0,
        "average_score": 0
    },
    "study_hours": {
        "target": 15,
        "actual": 0
    }
}

Monthly Review Template

Markdown
Month X Review:

Achievements:
- [ ] Met coding target
- [ ] Met design target
- [ ] Met behavioral target
- [ ] Completed mocks

Challenges:
- 
- 

Adjustments for Next Month:
- 
- 

Confidence Level: _/10

🎯 Success Metrics by Month

Expected Progress Curve

Month Coding Success Rate Design Completeness LP Story Quality Mock Score
1 40% 50% 2.5/5
2 55% 60%
3 70% 70% 3.5/5 3.5/5
4 80% 80%
5 85% 85% 4.5/5 4.⅗
6 90% 90% 4.7/5 4.5/5

💡 Time Management Tips

Efficient Study Techniques

  1. Pomodoro for Coding: 25 min problem, 5 min break
  2. System Design Batching: 2-hour deep sessions
  3. Story Practice: During commute/walks
  4. Mock Review: Video record and 2x playback

When Behind Schedule

Recovery Strategies: 1. Focus on high-impact areas (System Design for L7) 2. Reduce breadth, increase depth 3. Add 30 min daily for 2 weeks 4. Skip low-frequency patterns 5. Get professional coaching

When Ahead of Schedule

Enhancement Options: 1. Add specialty areas (ML/AI for 2025) 2. Extra mock interviews 3. Help others (teaching reinforces) 4. Build demonstration projects 5. Write technical blogs

⚠️ Common Timeline Mistakes

  1. Starting Too Late: 3 months insufficient for L6/L7
  2. Inconsistent Practice: Daily practice beats weekend marathons
  3. Ignoring Weak Areas: These become interview killers
  4. No Mock Interviews: Real practice essential
  5. Burning Out: Plan rest days

🏃 Sprint Weeks

Coding Sprint (Month 3, Week 2)

  • Solve 30 problems in one week
  • Focus on medium difficulty
  • Time each problem strictly
  • Review patterns daily

Design Sprint (Month 4, Week 2)

  • Complete 1 design daily
  • Each from different domain
  • Present to study group
  • Incorporate feedback immediately

Interview Sprint (Month 5, Week 3)

  • Daily mock interviews
  • Different interviewer each day
  • Video record everything
  • Detailed feedback analysis

🎯 Final Month Schedule

Week 21: Peak Practice

  • 2 problems daily
  • 1 system design daily
  • 1 behavioral daily
  • Review all materials

Week 22: Mock Loop

  • Monday: Full mock loop
  • Tuesday-Wednesday: Address feedback
  • Thursday: Mini mock loop
  • Friday: Final adjustments

Week 23: Polish

  • Review top designs
  • Practice problem variations
  • Refine STAR stories
  • Mental preparation

Week 24: Interview Week

  • Light practice only
  • Review notes
  • Rest and relaxation
  • Confidence building

💡 Success Tips

Proven Strategies

  1. Consistency > Intensity: Daily practice beats weekend marathons
  2. Active > Passive: Solve problems rather than watching solutions
  3. Feedback Loop: Get external feedback weekly
  4. Simulate Reality: Practice with time pressure and constraints
  5. Health First: Maintain exercise, sleep, and nutrition

🎯 Final Month Checklist

30 Days Before

  • All stories written and polished
  • 100+ coding problems solved
  • 20+ system designs completed
  • 5+ mock interviews done
  • Schedule cleared for final month

14 Days Before

  • Peak performance reached
  • All materials organized
  • Technology tested
  • Interview logistics confirmed
  • Support system in place

7 Days Before

  • Tapering practice
  • Mental preparation
  • Physical health optimal
  • Confidence high
  • Ready to succeed

📋 Pre-Interview Checklist

1 Week Before

  • Confirm interview logistics
  • Review top 20 problems/designs
  • Polish STAR stories
  • Plan interview day schedule
  • Prepare questions to ask

1 Day Before

  • Light review only
  • Prepare materials
  • Test technology setup
  • Get good sleep
  • Visualize success

Interview Day

  • Healthy breakfast
  • Arrive early/test connection
  • Warm up with easy problem
  • Review notes briefly
  • Stay confident!

You Can Do This!

Following this timeline, hundreds of candidates have successfully landed L6/L7 roles at Amazon. The best preparation combines consistent practice with strategic focus. Trust the process, stay consistent, track your progress, and remember: preparation breeds confidence, and confidence breeds success.


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