Scale Engineer

Software Engineer

Software EngineerMTS5Hard

This interview process for a Software Engineer (MTS5) at Pure Storage is designed to assess a candidate's technical proficiency, problem-solving abilities, system design skills, and cultural fit within the company. The MTS5 level indicates a senior individual contributor role requiring significant experience and the ability to lead technical initiatives.

Rounds·4

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$170000 - US$220000

Interview time·210 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant areas (e.g., distributed systems, storage, networking, operating systems).
  • Problem-solving skills and analytical thinking.
  • System design capabilities, including scalability, reliability, and performance.
  • Coding proficiency and best practices.
  • Communication and collaboration skills.
  • Leadership potential and ability to mentor others.
  • Cultural fit and alignment with Pure Storage values.

Preparation

How to prepare.

Tips

  1. Review core computer science fundamentals: data structures, algorithms, operating systems, and networking.
  2. Deep dive into distributed systems concepts: consensus algorithms, replication, consistency models, fault tolerance.
  3. Study system design principles for scalability, reliability, and performance.
  4. Practice coding problems, focusing on efficiency and clean code.
  5. Prepare to discuss your past projects and technical contributions in detail.
  6. Research Pure Storage's products and technologies to understand their business context.
  7. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  8. Understand common interview pitfalls and how to avoid them.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, heaps, sorting, searching, dynamic programming, and graph traversal algorithms. Practice coding these concepts on platforms like LeetCode, HackerRank, or AlgoExpert. Aim for optimal time and space complexity.

Questions

Commonly asked.

  • Design a distributed caching system.
  • Implement a function to find the k-th largest element in an unsorted array.
  • How would you design a system to handle millions of concurrent users for a real-time chat application?
  • Describe a time you disagreed with a technical decision. What did you do?
  • Explain the trade-offs between different consistency models in distributed databases.
  • Write a function to detect cycles in a directed graph.
  • How do you approach performance optimization in a large-scale application?
  • Tell me about a challenging project you led. What were the key challenges and how did you overcome them?
  • What are the differences between TCP and UDP, and when would you use each?
  • Design a rate limiter for an API.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Santa Clara, USA

Interview focus

Deep dive into distributed systems and storage technologies relevant to Pure Storage's product portfolio.Emphasis on practical experience with large-scale systems and performance optimization.Understanding of cloud-native architectures and containerization (Kubernetes, Docker).

Common questions

  • Discuss a complex technical challenge you faced and how you overcame it.
  • How do you approach designing a scalable and reliable distributed system?
  • Describe a time you had to mentor junior engineers. What was your approach?
  • What are your thoughts on the latest trends in cloud computing and storage technologies?

Tips

  • Familiarize yourself with Pure Storage's core technologies (FlashArray, FlashBlade, Portworx).
  • Be prepared to discuss your contributions to open-source projects if applicable.
  • Highlight experience with performance tuning and debugging in complex environments.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms · 60 min · Software Engineer (MTS4/MTS5)

This round focuses on assessing your core data structures and algorithms knowledge. You will be presented with one or two coding problems, typically on a shared online editor. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean and correct code, and analyze its complexity. Expect follow-up questions to explore edge cases, optimizations, and alternative approaches.

What they look for

A systematic approach to problem-solving.Clean, efficient, and correct code.Understanding of time and space complexity.Ability to communicate thought process effectively.

Evaluation

  • Problem-solving approach.
  • Algorithm and data structure knowledge.
  • Coding proficiency (clarity, efficiency, correctness).
  • Ability to handle follow-up questions and constraints.

Sample questions

  • Given a binary tree, invert the tree.

    TreeRecursionBinary Tree

  • Find the median of two sorted arrays.

    ArrayBinary SearchTwo Pointers

  • Implement a Least Recently Used (LRU) cache.

    Hash TableLinked ListDesign

Prep for this round

  1. 01Practice coding problems regularly on platforms like LeetCode.
  2. 02Focus on understanding the underlying algorithms and data structures.
  3. 03Practice explaining your thought process out loud.
  4. 04Be prepared to write code without relying heavily on IDE features.
  5. 05Consider edge cases and constraints thoroughly.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding in core CS concepts.
  • ×Poor coding practices or inefficient solutions.
  • ×Failure to consider edge cases or constraints.

DSA

Coding questions at Pure Storage.

Frequently reported on Pure Storage loops

View all at Pure Storage

Other guides

More at Pure Storage.