L6

Software EngineerSDE IIIHard

The L6 Software Engineer (SDE III) interview at Amazon is a rigorous process designed to assess a candidate's technical expertise, problem-solving abilities, leadership potential, and cultural fit with Amazon's Leadership Principles. This level typically requires a strong track record of delivering complex projects, mentoring junior engineers, and influencing technical direction.

Rounds·4

Timeline·~21d

Experience·7 - 15 yrs

Comp band·US$180000 - US$250000

Interview time·210 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant areas (e.g., distributed systems, algorithms, data structures, specific programming languages).
  • Problem-solving skills: ability to break down complex problems, identify constraints, and devise effective solutions.
  • System design and architecture: ability to design scalable, reliable, and maintainable systems.
  • Leadership and influence: ability to drive technical initiatives, mentor others, and influence technical decisions.
  • Communication skills: clarity, conciseness, and effectiveness in conveying technical ideas.
  • Cultural fit: alignment with Amazon's Leadership Principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep).

Preparation

How to prepare.

Tips

  1. Thoroughly review Amazon's Leadership Principles and prepare specific examples from your experience that demonstrate each principle.
  2. Practice coding problems, focusing on data structures, algorithms, and object-oriented design. Aim for clean, efficient, and well-documented code.
  3. Study system design concepts for large-scale distributed systems. Understand trade-offs related to scalability, availability, consistency, and performance.
  4. Prepare for behavioral questions using the STAR method, ensuring your examples are specific, quantifiable, and demonstrate impact.
  5. Research the specific team and product you are interviewing for to tailor your answers and questions.
  6. Practice mock interviews to simulate the interview environment and get feedback.
  7. Understand common interview pitfalls and how to avoid them, such as not asking clarifying questions or not explaining your thought process.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (DSA) fundamentals. Practice Medium/Hard LeetCode.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity. Solve LeetCode problems tagged 'Medium' and 'Hard'.

Questions

Commonly asked.

  • Design a system to handle real-time notifications for a large user base.
  • Tell me about a time you had to deal with a production issue. What was your approach?
  • How would you design a distributed key-value store?
  • Describe a complex technical challenge you faced and how you overcame it.
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you ensure the quality and reliability of the software you ship?
  • Tell me about a time you had to influence a decision that was different from your initial recommendation.
  • Design a rate limiter for an API.
  • What are the principles of good API design?
  • Describe a situation where you had to work with a difficult stakeholder. How did you manage the relationship?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Global

Interview focus

Deep dive into system design and architecture for large-scale, distributed systems.Emphasis on leadership and influencing skills, particularly in driving technical strategy.Assessment of ability to handle ambiguity and drive results in a fast-paced environment.Evaluation of cross-functional collaboration and communication.

Common questions

  • Discuss a time you had to influence a team to adopt a new technology. What was the outcome?
  • Describe a complex system you designed. What were the trade-offs?
  • How would you scale a service that is experiencing exponential growth?
  • Tell me about a time you failed. What did you learn from it?
  • What are your thoughts on the current state of cloud computing and its future?

Tips

  • For Seattle/US-based interviews, be prepared for in-depth discussions on distributed systems and cloud architecture. Highlight experience with AWS services.
  • For international locations (e.g., India, Europe), expect a strong focus on data structures, algorithms, and coding proficiency, alongside system design. Tailor examples to global scalability challenges.
  • Understand Amazon's specific business context for the role and location. Research recent Amazon news and initiatives relevant to the team.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 60 min · Software Development Engineer (SDE)

This round typically involves one or two coding problems, often focusing on data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your problem-solving approach and communication skills. You'll be expected to explain your thought process, discuss trade-offs, and handle edge cases. This round is crucial for demonstrating your foundational technical skills.

What they look for

Clean, efficient, and correct code.A systematic approach to problem-solving.Understanding of time and space complexity.Ability to explain the solution and its trade-offs.Consideration of edge cases and error handling.

Evaluation

  • Coding proficiency and correctness.
  • Understanding of data structures and algorithms.
  • Problem-solving approach.
  • Code quality and efficiency.
  • Ability to communicate technical solutions.

Sample questions

  • Given a binary tree, find the lowest common ancestor of two given nodes in the tree.

    Data StructuresAlgorithmsTreesRecursion
  • Implement a function to find the k-th largest element in an unsorted array.

    Data StructuresAlgorithmsArraysSortingQuickSelect
  • Design a data structure that supports insert, delete, and getRandom O(1) operations.

    Data StructuresHash MapsArraysO(1) Operations

Prep for this round

  1. 01Practice coding on a whiteboard or shared editor.
  2. 02Focus on explaining your thought process out loud.
  3. 03Be prepared to discuss the time and space complexity of your solutions.
  4. 04Write test cases for your code.
  5. 05Ask clarifying questions about the problem statement and constraints.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of depth in understanding fundamental computer science concepts.
  • ×Poor coding practices (e.g., inefficient solutions, unreadable code).
  • ×Failure to consider edge cases or constraints.
  • ×Not asking clarifying questions when needed.

DSA

Coding questions at Amazon.

Frequently reported on Amazon loops

Other guides

More at Amazon.