Scale Engineer

Software Engineer

Software EngineerMTS7Hard

The interview process for a Software Engineer (MTS7) at Cohesity is designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. The process typically involves multiple rounds, starting with an initial screening and progressing through technical and behavioral interviews.

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, data structures, algorithms, operating systems, networking).
  • Problem-solving skills and analytical thinking.
  • System design and architectural capabilities.
  • Coding proficiency and best practices.
  • Communication and collaboration skills.
  • Leadership potential and mentorship abilities.
  • Cultural fit and alignment with Cohesity's values.

Preparation

How to prepare.

Tips

  1. Thoroughly review fundamental computer science concepts, including data structures, algorithms, operating systems, and networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns for distributed systems.
  4. Prepare to discuss your past projects in detail, highlighting your contributions, challenges, and learnings.
  5. Research Cohesity's products, technology stack, and company culture.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Understand the specific technologies and domains relevant to the role you are applying for at Cohesity.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures & 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, heaps, sorting, searching, dynamic programming, and greedy algorithms. Practice problems on LeetCode (Easy/Medium).

Questions

Commonly asked.

  • Design a distributed caching system.
  • How would you design a rate limiter?
  • Explain the concept of eventual consistency.
  • Describe a time you had to deal with a production issue under pressure.
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you approach code reviews?
  • Tell me about a challenging technical decision you made.
  • How would you optimize the performance of a web application?
  • What are the principles of good API design?
  • Describe your experience with cloud-native architectures.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA

Interview focus

Deep dive into distributed systems concepts.Emphasis on architectural patterns and trade-offs.Evaluation of leadership and mentorship capabilities.Understanding of cloud-native technologies and best practices.

Common questions

  • Discuss a complex technical challenge you faced and how you overcame it.
  • Describe a time you had to influence a team to adopt your technical solution.
  • How do you approach designing a scalable and reliable distributed system?
  • What are your thoughts on the latest trends in cloud computing and data management?

Tips

  • Be prepared to discuss your experience with large-scale systems and distributed architectures.
  • Showcase your ability to mentor junior engineers and lead technical initiatives.
  • Familiarize yourself with Cohesity's product offerings and the challenges in the data management space.
  • Highlight your experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

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.