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Amazon SysDev II (L5) – Rejected (Full Timeline + Prep + LP Strategy)
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)
Encode/Decode a blob-like object.
Discuss Blue-Green Deployment strategy and its implementation, including edge cases.
Discuss Incident Response procedures.
Extended version of the same encode/decode problem from Round 0.
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.