Amazon SysDev II (L5) – Rejected (Full Timeline + Prep + LP Strategy)

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Systems Development Engineer II (L5)Nashville, TN, USA2.5 years
July 5, 20254 reads

Summary

I recently interviewed at Amazon for a Systems Development Engineer II (L5) position in Nashville, TN, USA, and was ultimately rejected due to no open L4 headcount after being considered for a down-level. The interview process was heavily focused on Leadership Principles, with some coding and system design components.

Full Experience

I want to share my recent experience interviewing at Amazon and here's my story.

🧑‍💻 Position: Systems Development Engineer II (L5) 📍 Location: Nashville, TN, USA 📅 Timeline: Interviewed in June 2025 🎯 Outcome: Rejected – No offer, no down-level (L4 not open)


👤 About Me:

  • 2.5 years of experience in backend infrastructure, process automation, and mobile development
  • Graduated with a Master's (MS) in Information Systems (2024)
  • Actively job hunting
  • Strong grasp of Data Structures, Algorithms, and System Design
  • Previously interviewed at Amazon, USA (SDE I – AUTA) in October 2024 — rejected post final round

🗓️ Timeline:

  • May 22 – Applied online (no referral)
  • May 27 – Online Assessment
    • Two medium-level coding problems (string manipulation & JSON parsing)
    • Not available on LeetCode or any common prep platform
  • May 29 – Phone Screen invite received
  • June 9 – Phone Screen (Round 0)
    • 1-hour technical interview
  • June 10 – Received onsite loop invite (5 rounds total across 2 days)
  • June 13 – HR Prep Call
    • 40-minute phone call
    • Focused on Amazon's 16 Leadership Principles, interview expectations, and company culture
  • June 25 – Optional “Candid Chat”
    • I opted in to speak with a random Amazonian to ask about their experience
    • 1-hour video call with a Technical Account Manager – purely conversational
  • June 26 – Onsite Loop Day 1
    • Round 1 & Round 2
  • June 27 – Onsite Loop Day 2
    • Round 3, Round 4 & Round 5
  • July 2 – Final HR Call
    • I was not selected for L5
    • Panel considered down-leveling to L4, but no open headcount
    • Universal 5–6 month cooldown period across roles
    • HR mentioned this isn’t strictly enforced — may be contacted earlier if a fit opens up

🧪 Round Analysis:

Overall, the process was Leadership Principle (LP)-heavy — I was asked 22 LPs (15 unique), each with follow-ups. Coding, HLD, and LLD played a smaller role.

🔹 Round 0 (Phone Screen) – SysDev L6 (20+ yrs @ Amazon)

  • Intro: 5 mins
  • Coding: Encode/Decode a blob-like object – completed in under 20 mins
  • LPs: 5 asked in-depth (~20 mins)
  • Wrap-up: Asked 2 questions about role and culture

🔹 Round 1 – SysDev L5 (8 yrs @ Amazon)

  • LPs: 4 total (~40 mins)
  • Tech Scenarios:
    • Blue-Green Deployment (asked for clarification, then nailed it with edge cases)
    • Incident Response

✅ Answered both scenarios with step-by-step breakdowns ⚠️ At this point, I started to feel this role leaned more towards infra than my core SDE strengths.

🔹 Round 2 – Same Interviewer as Round 0

  • Coding: Extended version of the same encode/decode problem – solved perfectly
  • LPs: 2 discussed briefly

🔹 Round 3 (Bar Raiser) – IT Manager (10 yrs @ Amazon, Hardware focus)

  • Intro: 10–15 mins on career journey, reflections, and motivations
  • LPs: 4 asked with deep follow-ups (~8–10 mins each)
  • Wrap-up: Asked expectations from an L5; they listed 3–4 LPs and said I aligned well

💬 Implied I passed the bar

🔹 Round 4 – SysDev (4 yrs @ Amazon)

  • LPs: 4 asked (~10–15 mins each) with deeper dives into tech stack, API design decisions, and architectural trade-offs

🔹 Round 5 – SysDev Manager (12 yrs @ Amazon)

  • Intro: 5 mins
  • LPs: 3 asked, moderate follow-up (~7–8 mins each)
  • HLD (Verbal):
    • Design a company-wide dashboarding system with site-level and master views
    • Asked clarifying questions, proposed real-world analogy with Amazon FCs and scanners
    • Discussed edge cases like scanner failures, partial data, etc.
    • Interviewer validated the thought process

💭 Takeaways

While I was naturally disappointed with the outcome, I had already sensed after Round 1 that this wasn’t my ideal fit — so I went stress-free into the later rounds and still gave my best.

Advice to future candidates: Don’t stress out. Amazon interviews are long and mentally exhausting — they’re meant to test your consistency and clarity. ✅ Take pauses before answering if needed — interviewers are understanding and know it’s a marathon. ✅ Prepare LPs well. If you can communicate structured, authentic stories, it truly makes a difference.

Interview Questions (5)

Q1
Encode/Decode a Blob-like Object
Data Structures & Algorithms

Encode/Decode a blob-like object.

Q2
Blue-Green Deployment
System Design

Discuss Blue-Green Deployment strategy and its implementation, including edge cases.

Q3
Incident Response
System Design

Discuss Incident Response procedures.

Q4
Extended Encode/Decode Problem
Data Structures & Algorithms

Extended version of the same encode/decode problem from Round 0.

Q5
Design a Company-wide Dashboarding System
System Design

Design a company-wide dashboarding system with site-level and master views. I was expected to ask clarifying questions, propose a real-world analogy, and discuss edge cases.

Preparation Tips

🧠 Preparation (2 Weeks Prior)

LeetCode:

  • Focused on medium and hard questions only — especially:
  • Graphs (e.g., Course Schedule, Bus Routes)
  • Subsequence & sliding window problems
  • Selective string problems (my weaker area)
  • Skipped Trees, Matrix, and LinkedLists — already confident.

Leadership Principles:

  • Prepared 30 recent LP questions (sourced from ChatGPT, Reddit, LeetCode Discuss).
  • Used a strategy to decouple the question while being asked, identify the core principle, and answer in clear STAR format.

➤ I’m confident my LP answers stood out.

System Design (HLD):

  • Watched Exponent mock interviews on YouTube, and practiced drawing on a whiteboard.

LLD:

  • Skipped — felt comfortable and didn't need active prep.
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