Software Engineer

Software EngineerMTS4Medium to Hard

This interview process is for a Software Engineer position at Pure Storage, specifically for the MTS4 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·4

Timeline·~14d

Experience·4 - 8 yrs

Comp band·US$120000 - US$160000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • System design capabilities
  • Coding proficiency
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, heaps).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium and hard difficulty.
  3. Understand time and space complexity (Big O notation).
  4. Study system design principles, including scalability, reliability, and distributed systems.
  5. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  6. Research Pure Storage's products, values, and recent news.
  7. Prepare questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms - Fundamentals

Weeks 1-2: Data Structures & Algorithms (Basics). Practice problems on Trees, Graphs, Arrays.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs) and their common algorithms. Practice problems related to these topics, ensuring you understand time and space complexity. Cover basic sorting and searching algorithms.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • How would you design a system to track the top K trending items in real-time?
  • Tell me about a time you disagreed with a technical decision and how you handled it.
  • Explain the concept of eventual consistency.
  • Write a function to reverse a linked list.
  • Describe the trade-offs between SQL and NoSQL databases.
  • How do you ensure the scalability of a web application?
  • Tell me about a challenging bug you encountered and how you debugged it.
  • What are your strengths and weaknesses as a software engineer?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

India

Interview focus

Emphasis on collaborative problem-solving and communication skills.Adaptability to different work styles and team dynamics.

Common questions

  • Discuss a challenging project you worked on and how you overcame obstacles.
  • How do you handle disagreements within a team?
  • Describe a time you had to learn a new technology quickly.

Tips

  • Be prepared to discuss your contributions to team projects.
  • Highlight instances where you've mentored junior engineers.
  • Showcase your ability to adapt to different cultural nuances in communication.

Rounds

Round-by-round.

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

Med

Technical Interview - Data Structures & Algorithms · 45 min · Software Engineer (Peer)

This round focuses on your core data structures and algorithms knowledge. You will be given one or two coding problems to solve. The interviewer will assess your approach to problem-solving, your ability to write efficient and correct code, and your understanding of time and space complexity. You'll be expected to communicate your thought process clearly throughout the session.

What they look for

A systematic approach to problem-solving.Ability to translate a problem into code.Understanding of Big O notation.Clean and readable code.Ability to test their code.

Evaluation

  • Problem-solving approach
  • Coding proficiency
  • Understanding of data structures and algorithms
  • Time and space complexity analysis

Sample questions

  • Given a binary tree, find its maximum depth.

    TreeRecursionDFS
  • Implement a function to find the kth smallest element in an unsorted array.

    ArraySortingQuickSelect
  • Given two strings, determine if one is an anagram of the other.

    StringHash MapSorting

Prep for this round

  1. 01Practice coding problems on a whiteboard or a shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Consider edge cases and test your solution thoroughly.
  4. 04Be prepared to discuss the time and space complexity of your solution.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Difficulty in writing clean, efficient code.
  • ×Not asking clarifying questions.

DSA

Coding questions at Pure Storage.

Frequently reported on Pure Storage loops

Other guides

More at Pure Storage.