Scale Engineer

Software Engineer

Software EngineerMTS6Medium to Hard

This interview process is for a Software Engineer position at Cohesity, specifically for the MTS6 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·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages (e.g., Go, Python, Java).
  • Strong understanding of data structures and algorithms.
  • Ability to design scalable and robust systems.
  • Problem-solving and analytical skills.
  • Communication and collaboration abilities.
  • Cultural fit and alignment with Cohesity's values.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts, including data structures, algorithms, and operating systems.
  2. Practice coding problems, focusing on efficiency and edge cases.
  3. Study system design principles, focusing on scalability, reliability, and distributed systems.
  4. Prepare to discuss your past projects in detail, highlighting your contributions and challenges.
  5. Research Cohesity's products, technologies, and company culture.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Formulate thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice (Easy/Medium).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, dynamic programming, and greedy algorithms. Practice problems on platforms like LeetCode (Easy/Medium).

Questions

Commonly asked.

  • Design a URL shortening service.
  • Implement a function to find the k-th largest element in an unsorted array.
  • Explain the difference between TCP and UDP.
  • Describe a time you disagreed with a teammate and how you resolved it.
  • How would you design a distributed cache?
  • What are the trade-offs of using microservices?
  • Write a function to reverse a linked list.
  • How do you handle concurrency issues?
  • Tell me about a challenging bug you fixed.
  • What are your thoughts on test-driven development (TDD)?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA

Interview focus

Deep dive into system design and distributed systems concepts.Problem-solving skills with a focus on scalability and performance.Experience with cloud-native technologies (e.g., Kubernetes, Docker).Understanding of data structures and algorithms in practical scenarios.

Common questions

  • Discuss a challenging project you worked on and how you overcame obstacles.
  • How do you approach debugging complex issues?
  • Describe your experience with distributed systems.
  • What are your thoughts on microservices architecture?
  • How do you ensure code quality and maintainability?

Tips

  • Be prepared to discuss large-scale system design challenges.
  • Highlight experience with cloud platforms like AWS, Azure, or GCP.
  • Showcase your ability to write clean, efficient, and well-tested code.
  • Emphasize collaboration and teamwork skills.

Rounds

Round-by-round.

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

DSA

Coding questions at Cohesity.

Frequently reported on Cohesity loops

View all at Cohesity

Other guides

More at Cohesity.