Pure Storage

Software Engineer

Software EngineerLS2Medium to Hard

This interview process is for a Software Engineer position at Pure Storage, specifically for the LS2 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds

4

Timeline

~14 days

Experience

2 - 5 yrs

Salary Range

US$110000 - US$150000

Total Duration

195 min

Overall Evaluation Criteria

Technical Proficiency

Problem-solving skills
Algorithmic thinking
Data structure knowledge
Coding proficiency
System design capabilities
Scalability and performance considerations
Communication skills
Teamwork and collaboration
Cultural fit
Adaptability and learning agility

Communication and Collaboration

Ability to articulate thought process
Clarity of explanations
Active listening
Constructive feedback delivery/reception

Cultural Fit and Motivation

Alignment with Pure Storage values
Proactiveness
Ownership and accountability
Curiosity and passion for technology

Preparation Tips

1Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
2Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
3Study system design principles, including scalability, availability, reliability, and common design patterns (e.g., load balancing, caching, databases).
4Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
5Research Pure Storage's products, mission, and values to understand how your skills and experience align.
6Understand the LS2 level expectations for a Software Engineer at Pure Storage, which typically involves contributing to design and implementation of features with some guidance.
7Be ready to discuss past projects in detail, highlighting your contributions and the impact of your work.
8Practice explaining complex technical concepts clearly and concisely.

Study Plan

1

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms Fundamentals. Practice 2-3 problems/day.

Weeks 1-2: Focus on core data structures and algorithms. Practice problems related to arrays, strings, linked lists, trees, and basic sorting/searching algorithms. Aim for 2-3 problems per day.

2

Advanced Algorithms

Weeks 3-4: Advanced Algorithms & Medium Coding. Practice medium problems.

Weeks 3-4: Deepen understanding of more complex algorithms like dynamic programming, graph algorithms (BFS, DFS, Dijkstra), and advanced tree structures. Start practicing medium-difficulty coding problems.

3

System Design

Weeks 5-6: System Design Principles & Practice. Study distributed systems, databases, caching.

Weeks 5-6: Focus on system design. Study concepts like distributed systems, databases (SQL vs. NoSQL), caching, load balancing, and API design. Read system design case studies and practice designing common systems (e.g., Twitter feed, URL shortener).

4

Behavioral Preparation

Week 7: Behavioral Interview Prep. Use STAR method, research company values.

Week 7: Prepare for behavioral interviews. Review your resume and identify key projects and experiences. Practice answering common behavioral questions using the STAR method. Research Pure Storage's culture and values.

5

Final Preparation

Week 8: Mock Interviews & Final Review. Practice explaining concepts.

Week 8: Mock interviews and final review. Conduct mock interviews with peers or mentors to simulate the actual interview environment. Review all topics, focusing on areas where you feel less confident. Prepare questions to ask the interviewer.

Commonly Asked Questions

Given an array of integers, find the contiguous subarray with the largest sum.
Design a system to shorten URLs.
Explain the difference between a process and a thread.
How would you handle a deadlock in a multi-threaded application?
Tell me about a time you failed and what you learned from it.
Describe a complex system you designed or contributed to.
What are the trade-offs between SQL and NoSQL databases?
How do you ensure the scalability of your code?
What is your experience with cloud computing platforms?
Describe a situation where you had to disagree with a technical decision and how you handled it.

Location-Based Differences

USA

Interview Focus

Emphasis on practical application of data structures and algorithms.Strong focus on system design and scalability for US-based roles.Behavioral questions often probe for collaboration and conflict resolution skills.

Common Questions

Discuss a challenging technical problem you solved in a previous role.

How do you approach debugging complex issues?

Describe your experience with distributed systems.

What are your thoughts on microservices architecture?

Tell me about a time you had to work with a difficult teammate.

Tips

Be prepared to whiteboard solutions for coding problems.
For system design, think about trade-offs and justify your choices.
STAR method is highly recommended for behavioral questions.
Research Pure Storage's products and values before the interview.

Europe

Interview Focus

More emphasis on theoretical computer science concepts.System design questions might be more focused on specific technologies prevalent in the region.Behavioral questions may assess adaptability and learning agility.

Common Questions

Explain the concept of immutability in programming.

How would you optimize a database query?

Describe your experience with cloud platforms (AWS, Azure, GCP).

What are the advantages of using containers like Docker?

How do you handle feedback and incorporate it into your work?

Tips

Clearly articulate your understanding of fundamental CS principles.
Be ready to discuss your contributions to open-source projects if applicable.
Showcase your ability to learn and adapt to new technologies.
Understand the local tech market trends and how they relate to Pure Storage.

Process Timeline

1
Data Structures and Algorithms Round45m
2
System Design Round60m
3
Hiring Manager Round45m
4
Senior Leadership Round45m

Interview Rounds

4-step process with detailed breakdown for each round

1

Data Structures and Algorithms Round

Assess fundamental coding skills with data structures and algorithms.

Technical Interview - CodingMedium
45 minSoftware Engineer / Senior Software Engineer

This is typically the first technical round. It focuses on assessing your fundamental programming skills, including data structures and algorithms. You will be asked to solve one or two coding problems, often on a shared online editor or whiteboard. The interviewer will evaluate your approach to problem-solving, the efficiency and correctness of your code, and your ability to explain your thought process.

What Interviewers Look For

A systematic approach to problem-solving.Proficiency in at least one programming language.Understanding of common data structures and algorithms.Ability to write clean, readable, and efficient code.Clear communication of thought process.

Evaluation Criteria

Problem-solving approach
Correctness of the solution
Efficiency of the solution (time and space complexity)
Coding style and clarity
Ability to explain the solution

Questions Asked

Reverse a linked list.

Data StructuresLinked ListsAlgorithms

Find the two numbers in an array that add up to a specific target.

ArraysHash MapsAlgorithms

Implement a function to check if a binary tree is a Binary Search Tree (BST).

Data StructuresTreesAlgorithms

Preparation Tips

1Practice coding problems on platforms like LeetCode, focusing on arrays, strings, linked lists, trees, and hash maps.
2Understand time and space complexity analysis (Big O notation).
3Be prepared to explain your code and discuss alternative solutions.
4Practice thinking out loud while solving problems.

Common Reasons for Rejection

Inability to solve basic coding problems.
Poor understanding of fundamental data structures.
Lack of clear thought process during problem-solving.
Inability to communicate technical ideas effectively.
2

System Design Round

Assess ability to design scalable and robust software systems.

Technical Interview - System DesignHard
60 minSenior Software Engineer / Engineering Manager

This round focuses on your ability to design and architect software systems. You'll be given an open-ended problem (e.g., design a URL shortener, a social media feed, or a distributed cache) and expected to discuss various aspects like data modeling, API design, scalability, performance, and fault tolerance. The interviewer wants to see how you break down a complex problem, consider different solutions, and justify your design choices.

What Interviewers Look For

Ability to design scalable and robust systems.Understanding of distributed systems concepts.Knowledge of databases, caching, and load balancing.Ability to identify and analyze trade-offs.Clear communication of design choices.

Evaluation Criteria

System design approach
Scalability and performance considerations
Reliability and availability
Trade-off analysis
Database design
API design
Clarity of explanation

Questions Asked

Design a system like Twitter's news feed.

System DesignScalabilityDistributed Systems

Design a rate limiter.

System DesignAlgorithmsScalability

Design an API for a ride-sharing service.

System DesignAPI DesignDistributed Systems

Preparation Tips

1Study common system design patterns and concepts.
2Practice designing various systems, considering scalability, availability, and performance.
3Understand different types of databases (SQL, NoSQL) and when to use them.
4Learn about caching strategies and load balancing techniques.
5Be prepared to discuss trade-offs between different design choices.

Common Reasons for Rejection

Lack of understanding of system design principles.
Inability to handle scalability and performance requirements.
Poor trade-off analysis.
Not considering edge cases or failure scenarios.
Difficulty in communicating complex system designs.
3

Hiring Manager Round

Assess past experiences, behavioral competencies, and cultural fit.

Behavioral And Managerial InterviewMedium
45 minHiring Manager / Engineering Manager

This round is conducted by the hiring manager and focuses on your past experiences, behavioral competencies, and overall fit with the team and company culture. You'll be asked questions about your resume, projects, career aspirations, and how you handle various work situations. The goal is to understand your motivations, work style, and how you collaborate with others.

What Interviewers Look For

Evidence of relevant experience and accomplishments.Strong communication and interpersonal skills.Alignment with Pure Storage's values and culture.Enthusiasm for the role and the company.Ability to learn and grow within the team.

Evaluation Criteria

Past project experience
Behavioral competencies (teamwork, problem-solving, leadership)
Communication skills
Cultural fit
Motivation and career goals

Questions Asked

Tell me about a challenging project you worked on and your role in it.

BehavioralExperienceProject Deep Dive

Describe a time you had a conflict with a colleague and how you resolved it.

BehavioralConflict ResolutionTeamwork

Why are you interested in Pure Storage and this specific role?

MotivationCompany FitCareer Goals

How do you stay updated with new technologies?

LearningAdaptabilityTechnical Curiosity

Preparation Tips

1Review your resume and be prepared to discuss any project or experience in detail.
2Use the STAR method to answer behavioral questions.
3Research Pure Storage's mission, values, and culture.
4Think about your career goals and how this role aligns with them.
5Prepare thoughtful questions to ask the hiring manager.

Common Reasons for Rejection

Lack of relevant experience.
Poor communication skills.
Inability to articulate past experiences and learnings.
Not demonstrating alignment with company values.
Lack of enthusiasm or interest in the role/company.
4

Senior Leadership Round

Assess technical depth, architectural thinking, and leadership potential.

Technical Deep Dive / Leadership InterviewMedium to Hard
45 minSenior Engineering Manager / Director of Engineering

This round often involves a senior leader who assesses your technical depth, architectural thinking, and potential to grow within the company. It might involve discussing more complex technical scenarios, your approach to technical leadership, and your understanding of the broader engineering landscape. The focus is on your ability to contribute at a higher level and align with the expectations of the LS2 role.

What Interviewers Look For

Strong technical foundation and ability to tackle complex problems.Understanding of software architecture and design principles.Ability to influence technical decisions.Potential to mentor junior engineers.Clear and concise communication of technical concepts.

Evaluation Criteria

Technical depth and breadth
Architectural thinking
Problem-solving at a higher level
Mentorship potential
Communication of technical vision
Alignment with LS2 expectations

Questions Asked

How would you design a highly available storage system?

System DesignHigh AvailabilityStorage

Describe a time you had to make a significant technical decision with incomplete information.

BehavioralDecision MakingRisk Assessment

What are the key challenges in building and scaling distributed systems?

Distributed SystemsScalabilityArchitecture

Preparation Tips

1Be prepared to discuss advanced technical topics relevant to Pure Storage's domain (e.g., storage, cloud, distributed systems).
2Think about how you would approach technical challenges at a higher level.
3Consider your leadership style and how you can contribute to a team's technical growth.
4Have a clear understanding of the LS2 role's responsibilities and expectations.

Common Reasons for Rejection

Lack of alignment with senior engineering expectations.
Inability to contribute to architectural discussions.
Poor communication of complex technical ideas.
Not demonstrating leadership potential.
Not meeting the bar for the specific LS2 level.

Commonly Asked DSA Questions

Frequently asked coding questions at Pure Storage

View all
Longest Palindromic SubstringMEDIUMLongest Increasing SubsequenceMEDIUMInsert Delete GetRandom O(1)MEDIUMValid SquareMEDIUMPalindromic SubstringsMEDIUMDesign SkiplistHARDMaximum Repeating SubstringEASY