Scale Engineer

L4

Software EngineerSDE IMedium to Hard

The L4 Software Engineer interview at Amazon (SDE I) is a comprehensive assessment designed to evaluate a candidate's technical skills, problem-solving abilities, and cultural fit within Amazon's Leadership Principles. The process typically involves multiple rounds, including technical interviews focusing on data structures, algorithms, and system design, as well as behavioral interviews to gauge alignment with Amazon's values.

Rounds·4

Timeline·~14d

Experience·2 - 5 yrs

Comp band·US$110000 - US$150000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency (cleanliness, efficiency, correctness)
  • System design capabilities (scalability, reliability, trade-offs)
  • Understanding of distributed systems
  • Communication skills
  • Alignment with Amazon's Leadership Principles

Preparation

How to prepare.

Tips

  1. Master fundamental data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy).
  2. Practice coding problems on platforms like LeetCode, HackerRank, and GeeksforGeeks, focusing on medium and hard difficulty.
  3. Study system design concepts: scalability, availability, consistency, load balancing, caching, databases (SQL vs. NoSQL), message queues, etc.
  4. Understand Amazon's 16 Leadership Principles and prepare STAR method (Situation, Task, Action, Result) stories for each.
  5. Review your past projects and be ready to discuss technical challenges, design decisions, and your contributions.
  6. Practice mock interviews to simulate the interview environment and get feedback.
  7. Research Amazon's culture and recent news to understand their business and priorities.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. LeetCode Easy/Medium.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Hash Maps) and basic algorithms (Sorting, Searching). Practice implementing these from scratch and analyze their time/space complexity. Solve LeetCode Easy and Medium problems related to these topics.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle millions of concurrent users for a social media platform.
  • Explain the difference between concurrency and parallelism.
  • Tell me about a time you had to influence a team to adopt a new technology.
  • How would you design an API for a ride-sharing service?
  • What are the trade-offs when choosing between a monolithic and a microservices architecture?
  • Describe a situation where you had to make a difficult decision with incomplete information.
  • Implement a function to reverse a linked list.
  • How do you approach debugging a complex issue in a distributed system?
  • Tell me about a time you took ownership of a project and saw it through to completion.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Seattle, USA

Interview focus

System Design: Emphasis on scalability, reliability, and trade-offs.Coding: Focus on clean, efficient, and well-tested code.Behavioral: Deep dive into Leadership Principles, especially Ownership, Customer Obsession, and Bias for Action.

Common questions

  • How would you design a URL shortener?
  • Explain the difference between a process and a thread.
  • Describe a time you had to deal with ambiguity.
  • Tell me about a challenging technical problem you solved.

Tips

  • For Seattle/US-based interviews, expect a strong emphasis on system design and distributed systems concepts.
  • Be prepared to discuss your past projects in detail, highlighting your contributions and the impact.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Amazon.

Frequently reported on Amazon loops

View all at Amazon

Other guides

More at Amazon.