Scale Engineer

Software Engineer

Software Engineer60Medium to Hard

This interview process is for a Software Engineer (Level 60) position at Microsoft. It is designed to assess a candidate's technical skills, problem-solving abilities, system design capabilities, and cultural fit within Microsoft.

Rounds·3

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$130000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency and style
  • Ability to break down complex problems

Preparation

How to prepare.

Tips

  1. Master fundamental data structures and algorithms.
  2. Practice coding problems regularly on platforms like LeetCode, HackerRank, or Coderbyte.
  3. Study system design concepts and common patterns.
  4. Review behavioral interview questions and prepare STAR method responses.
  5. Understand Microsoft's products, values, and mission.
  6. Research common interview questions for Software Engineers at Microsoft.
  7. Practice explaining your thought process clearly and concisely.
  8. Prepare questions to ask the interviewer.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and fundamental algorithms (Sorting, Searching, Recursion, Dynamic Programming). Practice implementing these from scratch and analyze their time and space complexity.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to count the number of unique visitors to a website.
  • Explain the difference between a process and a thread.
  • How would you design a rate limiter for an API?
  • Describe a time you had a conflict with a teammate and how you resolved it.
  • What are the advantages of using a microservices architecture?
  • How do you ensure the security of a web application?
  • Implement a function to reverse a linked list.
  • Discuss the trade-offs between depth-first search and breadth-first search.
  • Tell me about a project you are particularly proud of.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Redmond, USA

Interview focus

Deep dive into distributed systems and scalability challenges.Emphasis on cloud-native architectures (Azure services).Problem-solving in the context of large-scale data processing.Understanding of microservices and containerization (Docker, Kubernetes).

Common questions

  • How would you design a URL shortening service like bit.ly?
  • Discuss the trade-offs between SQL and NoSQL databases for a large-scale social media platform.
  • Explain the CAP theorem and its implications for distributed systems.
  • Describe a challenging technical problem you solved and how you approached it.
  • How do you handle concurrency issues in a multi-threaded application?

Tips

  • Familiarize yourself with Azure services and their use cases.
  • Practice designing scalable and resilient systems.
  • Be prepared to discuss your experience with cloud computing.
  • Understand the nuances of distributed system design patterns.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer

This round focuses on your fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean and correct code, and analyze its complexity. Expect to write code on a whiteboard or a shared online editor.

What they look for

Strong understanding of data structures and algorithmsAbility to translate a problem into codeLogical thinking and systematic approachClear communication of thought process

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code clarity and style
  • Ability to handle edge cases
  • Problem-solving approach

Sample questions

  • Given a binary tree, determine if it is a valid binary search tree.

    Data StructuresAlgorithmsTrees

  • Find the kth smallest element in a sorted matrix.

    Data StructuresAlgorithmsArraysSorting

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your approach and justify your choices.
  4. 04Practice writing code on a whiteboard or in a text editor without IDE assistance.

Common rejection reasons

  • ×Inability to articulate thought process
  • ×Incorrect or inefficient algorithm implementation
  • ×Poor understanding of time/space complexity
  • ×Lack of attention to edge cases

DSA

Coding questions at Microsoft.

Frequently reported on Microsoft loops

View all at Microsoft

Other guides

More at Microsoft.