This interview process is for a Software Engineer position at Pure Storage, specifically for the MTS3 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.
Rounds·3
Timeline·~14d
Experience·3 - 5 yrs
Comp band·US$110000 - US$150000
Interview time·150 min
Evaluation
What they measure.
Problem-solving approach
Algorithmic thinking
Code quality and efficiency
Data structure knowledge
System design capabilities
Communication skills
Behavioral and cultural fit
Ability to articulate technical concepts
Clarity of thought
Active listening
Enthusiasm and engagement
Alignment with Pure Storage values
Teamwork and collaboration potential
Adaptability and learning agility
Motivation and career aspirations
Preparation
How to prepare.
Tips
01Review fundamental data structures and algorithms (arrays, linked lists, trees, graphs, sorting, searching).
02Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
03Study system design principles and common architectural patterns.
04Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
05Understand Pure Storage's products and technologies.
06Research common behavioral interview questions and prepare STAR method responses.
07Be ready to ask insightful questions about the role, team, and company culture.
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures and Algorithms Fundamentals
Weeks 1-2: Data Structures & Basic Algorithms. Practice 2-3 problems/day.
Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, hash maps, trees, heaps, graphs) and their common operations. Practice basic algorithms like sorting (merge sort, quicksort), searching (binary search), and recursion. Aim for 2-3 coding problems per day.
02
Phase 02 of 04
Advanced Algorithms and Complexity Analysis
Weeks 3-4: Advanced Algorithms & Complexity. Practice harder problems.
Weeks 3-4: Dive into more advanced algorithms (dynamic programming, graph traversal like BFS/DFS, Dijkstra's algorithm, topological sort) and complexity analysis (Big O notation). Continue practicing coding problems, increasing the difficulty.
03
Phase 03 of 04
System Design
Weeks 5-6: System Design Principles & Practice. Study common patterns.
Weeks 5-6: Focus on System Design. Study concepts like scalability, availability, reliability, load balancing, caching, databases (SQL vs. NoSQL), message queues, and API design. Review common system design interview questions and practice designing systems like Twitter feed, URL shortener, etc.
04
Phase 04 of 04
Behavioral Preparation and Company Research
Week 7: Behavioral Prep & Company Research. Prepare STAR answers.
Week 7: Prepare for behavioral questions. Reflect on your past experiences and prepare STAR (Situation, Task, Action, Result) method answers for questions related to teamwork, leadership, conflict resolution, and handling failure. Also, research Pure Storage's company culture, values, and recent news.
Questions
Commonly asked.
Given an array of integers, find the contiguous subarray with the largest sum.
Design a system like TinyURL.
Explain the difference between a process and a thread.
Tell me about a time you disagreed with a team member. How did you handle it?
How would you design a rate limiter?
What are the trade-offs between SQL and NoSQL databases?
Implement a function to reverse a linked list.
Describe a challenging bug you encountered and how you debugged it.
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
USA
Interview focus
System design and distributed systems knowledgeScalability and performance optimizationUnderstanding of cloud-native technologies
Common questions
Discuss a challenging technical problem you solved in a distributed system.
How would you design a system to handle a large volume of real-time data?
Explain the trade-offs between different database technologies for a specific use case.
Tips
Be prepared to discuss your experience with cloud platforms like AWS, Azure, or GCP.
Familiarize yourself with containerization technologies like Docker and Kubernetes.
Practice explaining complex system designs clearly and concisely.
Location
India
Interview focus
Core data structures and algorithmsProblem-solving and analytical skillsSoftware development best practices
Common questions
Describe a project where you had to optimize code for performance.
How do you approach debugging complex issues in a production environment?
What are your thoughts on agile development methodologies?
Tips
Brush up on common data structures and algorithms, and be ready to implement them.
Prepare to walk through your thought process when solving coding problems.
Highlight your experience with version control systems like Git.
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 explain your approach.
What they look for
Strong grasp of data structures and algorithms.Ability to translate requirements into working code.Logical thinking and systematic approach to problem-solving.Clear communication of thought process.
Evaluation
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code clarity and readability
Problem-solving approach and communication
Sample questions
Given a binary tree, find its inorder traversal.
Data StructuresTreesRecursion
Implement a function to find the k-th smallest element in an unsorted array.
AlgorithmsSortingQuickselect
Prep for this round
01Practice coding problems on platforms like LeetCode, focusing on medium-difficulty questions.
02Be comfortable explaining your thought process step-by-step.
03Write clean, well-commented code.
04Consider edge cases and test your solution thoroughly.
Common rejection reasons
×Inability to solve coding problems within the given time.
×Poor understanding of fundamental data structures and algorithms.
×Inefficient or incorrect code implementation.
×Lack of clear thought process during problem-solving.
Hard
Technical Interview - System Design · 60 min · Senior Software Engineer / Architect
This round assesses your ability to design and architect software systems. You will be given an open-ended problem, such as designing a specific service (e.g., a URL shortener, a social media feed) or a component of a larger system. The interviewer will evaluate your understanding of scalability, performance, reliability, and your ability to make sound design decisions.
What they look for
Ability to design complex, scalable, and reliable systems.Understanding of distributed systems concepts.Knowledge of various architectural patterns and technologies.Ability to justify design choices and discuss trade-offs.
Evaluation
Scalability of the design
Reliability and availability considerations
Performance optimization
Trade-off analysis
Clarity and completeness of the design
Sample questions
Design a distributed cache system.
System DesignDistributed SystemsCaching
How would you design a system to count unique visitors to a website in real-time?
System DesignScalabilityData Processing
Prep for this round
01Study common system design patterns and concepts (load balancing, caching, databases, message queues).
02Practice designing various systems, articulating your choices and trade-offs.
03Be prepared to discuss different technologies and their pros/cons.
04Think about edge cases, failure scenarios, and how to handle them.
Common rejection reasons
×Lack of understanding of system design principles.
×Inability to handle scale and performance considerations.
×Poor trade-off analysis.
×Unclear or incomplete system design.
Med
Behavioral And Managerial Interview · 45 min · Hiring Manager / Team Lead
This round focuses on your behavioral and situational responses. The hiring manager will ask questions about your past experiences, how you handle specific situations, and your motivations. The goal is to understand your work style, how you collaborate with others, and whether you are a good cultural fit for Pure Storage.
What they look for
Evidence of collaboration and teamwork.Ability to handle challenges and learn from mistakes.Alignment with Pure Storage's core values.Genuine interest in the role and company.
Evaluation
Teamwork and collaboration skills
Problem-solving approach in past experiences
Adaptability and learning agility
Motivation and career goals
Cultural fit with Pure Storage
Sample questions
Tell me about a time you faced a significant technical challenge and how you overcame it.
BehavioralProblem SolvingResilience
Describe a situation where you had to work with a difficult colleague. How did you manage the relationship?
BehavioralTeamworkConflict Resolution
Why are you interested in working at Pure Storage?
BehavioralMotivationCompany Fit
Prep for this round
01Prepare specific examples using the STAR method (Situation, Task, Action, Result).
02Reflect on your strengths, weaknesses, and career aspirations.
03Research Pure Storage's company culture and values.
04Be ready to discuss why you are interested in this specific role and company.
Common rejection reasons
×Lack of alignment with company values.
×Poor communication or interpersonal skills.
×Inability to provide specific examples for behavioral questions.
×Lack of enthusiasm or interest in the role/company.