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.

Med

Technical - Coding · 45 min · Software Engineer / Senior Software Engineer

This round focuses on your core 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 write clean, efficient, and correct code, as well as your problem-solving approach and communication skills.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into code.Clear explanation of the thought process.Consideration of edge cases and optimizations.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code clarity and readability.
  • Ability to handle edge cases.
  • Problem-solving approach and communication.

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesAlgorithms
  • Find the median of two sorted arrays.

    ArraysAlgorithmsBinary Search
  • Implement a function to check if a string is a palindrome.

    StringsAlgorithms

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
  2. 02Focus on understanding the time and space complexity of your solutions.
  3. 03Be prepared to explain your approach and justify your choices.
  4. 04Practice coding in a collaborative editor or whiteboard environment.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor coding practices (e.g., inefficient code, lack of error handling).
  • ×Fundamental misunderstanding of data structures or algorithms.
  • ×Inability to solve the given problem within the time limit.

DSA

Coding questions at Cohesity.

Frequently reported on Cohesity loops

Other guides

More at Cohesity.