# Software Engineer
**Role:** Software Engineer · **Level:** MTS7
**Company:** [Cohesity](https://scaleengineer.com/companies/cohesity)
**Difficulty:** Hard
**Salary:** US$170000 - US$220000
**Experience:** 7 - 10
**Timeline:** ~14 days
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.
Canonical: https://scaleengineer.com/interviews/cohesity/mts7-software-engineer
---
## Overall evaluation

- Technical Skills
- Communication & Collaboration
- Cultural Fit & Growth Potential

## Questions 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.

## Preparation tips

### lists

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

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"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).","shortDescription":"Weeks 1-2: DSA fundamentals and practice (Easy/Medium)."}
- {"title":"System Design","longDescription":"Weeks 3-4: Deep dive into System Design. Study concepts like scalability, availability, reliability, consistency, CAP theorem, load balancing, caching, databases (SQL/NoSQL), message queues, and microservices. Review common system design interview questions and case studies.","shortDescription":"Weeks 3-4: System Design principles and case studies."}
- {"title":"Operating Systems & Networking","longDescription":"Week 5: Operating Systems and Networking. Review concepts such as processes, threads, memory management, concurrency, TCP/IP, HTTP, DNS, and network protocols. Understand how these concepts apply to distributed systems.","shortDescription":"Week 5: OS and Networking fundamentals."}
- {"title":"Behavioral & Project Preparation","longDescription":"Week 6: Behavioral and Project Deep Dive. Prepare examples using the STAR method for common behavioral questions (teamwork, leadership, conflict resolution, failures). Revisit your resume and prepare to discuss past projects in detail, focusing on technical challenges and impact.","shortDescription":"Week 6: Behavioral questions (STAR) and project review."}
- {"title":"Company Research & Mock Interviews","longDescription":"Week 7: Cohesity Specifics and Mock Interviews. Research Cohesity's products, mission, and values. Conduct mock interviews (technical and behavioral) to simulate the actual interview environment and get feedback.","shortDescription":"Week 7: Company research and mock interviews."}

## Location differences

- {"location":"USA","differences":{"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)."],"interviewFocus":["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."],"commonQuestions":["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?"]}}
- {"location":"India","differences":{"tips":["Practice coding problems extensively, focusing on time and space complexity.","Be ready to explain your thought process clearly and concisely.","Prepare examples that demonstrate your teamwork and communication skills.","Research Cohesity's core technologies and the specific domain of data management."],"interviewFocus":["Strong emphasis on data structures and algorithms.","Evaluation of coding proficiency and problem-solving skills.","Assessment of collaboration and communication within a team.","Understanding of software development lifecycle and best practices."],"commonQuestions":["Explain a challenging debugging scenario you encountered and your resolution.","How do you ensure code quality and maintainability in a team environment?","Describe your experience with performance optimization in large codebases.","What are your strategies for staying updated with new technologies?"]}}

## Round 1: Coding and Algorithms Assessment
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Coding round focusing on data structures and algorithms.
This round focuses on assessing your fundamental programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach, the correctness and efficiency of your code, and your ability to communicate your thought process.
**Interviewers look for:** A systematic approach to problem-solving.; Correct implementation of algorithms and data structures.; Clear and concise explanation of the solution.; Consideration of time and space complexity.
**Evaluation criteria:** Problem-solving approach.; Coding proficiency.; Understanding of data structures and algorithms.; Ability to write clean, efficient, and testable code.
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental knowledge in core CS concepts.; Poor coding practices or inefficient solutions.; Failure to consider edge cases or constraints.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to reverse a linked list.
- Find the kth smallest element in a binary search tree.

## Preparation tips

- Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
- Be prepared to explain your approach and the time/space complexity of your solution.
- Write clean, well-structured, and commented code.
- Think about edge cases and how to handle them.

## Round 2: System Design and Architecture
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
System design round focusing on scalability and distributed systems.
This round assesses your ability to design complex, scalable, and reliable systems. You will be given an open-ended problem (e.g., design a URL shortener, a social media feed, a distributed cache) and expected to discuss the architecture, components, data models, APIs, and trade-offs involved. Focus on scalability, availability, and maintainability.
**Interviewers look for:** A structured approach to system design.; Ability to identify requirements and constraints.; Knowledge of various architectural patterns and technologies.; Sound reasoning for design choices and trade-offs.; Consideration of operational aspects like monitoring and logging.
**Evaluation criteria:** System design principles.; Scalability and performance considerations.; Reliability and fault tolerance.; Trade-off analysis.; Understanding of distributed systems concepts.
**Common rejection reasons:** Lack of understanding of distributed system concepts.; Inability to design scalable and reliable systems.; Poor trade-off analysis.; Not considering failure scenarios or operational aspects.
## Questions

- Design a distributed key-value store.
- Design a system to count unique visitors to a website.
- Design a notification service.

## Preparation tips

- Study common system design patterns and principles.
- Practice designing various systems, considering different requirements.
- Be prepared to discuss trade-offs between different design choices.
- Think about scalability, availability, consistency, and fault tolerance.
- Familiarize yourself with technologies like load balancers, databases, caches, and message queues.

## Round 3: Behavioral and Managerial Fit
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Behavioral round assessing teamwork, leadership, and cultural fit.
This round focuses on your behavioral aspects, leadership potential, and how you align with Cohesity's culture. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your career aspirations. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
**Interviewers look for:** Examples of past behavior that demonstrate desired competencies.; Clear and concise communication.; Self-awareness and reflection.; Alignment with Cohesity's values and culture.; Enthusiasm and passion for the role and company.
**Evaluation criteria:** Behavioral competencies.; Teamwork and collaboration skills.; Leadership potential.; Problem-solving in non-technical contexts.; Cultural fit.
**Common rejection reasons:** Lack of alignment with company values.; Poor communication or interpersonal skills.; Inability to provide specific examples of past experiences.; Negative attitude or lack of enthusiasm.
## Questions

- Tell me about a time you had a conflict with a teammate and how you resolved it.
- Describe a project you are particularly proud of and your role in it.
- How do you handle constructive criticism?
- Tell me about a time you failed. What did you learn from it?

## Preparation tips

- Prepare examples for common behavioral questions (e.g., teamwork, conflict resolution, failure, success, leadership).
- Use the STAR method to structure your answers.
- Be honest and authentic in your responses.
- Show enthusiasm for the role and Cohesity.
- Think about your career goals and how this role fits into them.

## Round 4: Leadership and Strategic Alignment
**Type:** Managerial / Leadership Interview · **Difficulty:** Hard · **Duration:** 60 min
Final round with a senior leader to assess leadership and strategic fit.
This final round is typically with a senior leader or the hiring manager. It's a broader discussion covering your technical experience, leadership philosophy, career aspirations, and how you can contribute to Cohesity's strategic goals. They will assess your overall fit for the role and the company at a higher level.
**Interviewers look for:** Deep technical understanding and ability to apply it.; Evidence of leadership and ability to mentor others.; Strategic thinking and long-term vision.; Strong communication and interpersonal skills.; Enthusiasm and a proactive approach.
**Evaluation criteria:** Overall technical expertise.; Leadership and mentorship capabilities.; Strategic thinking.; Communication and influence.; Alignment with team and company goals.
**Common rejection reasons:** Significant gaps in technical knowledge.; Inability to demonstrate leadership or mentorship.; Poor communication or collaboration skills.; Lack of alignment with the team's direction or company culture.
## Questions

- What are your long-term career aspirations?
- How would you mentor a junior engineer joining the team?
- What do you think are the biggest challenges facing the data management industry today?
- Describe a time you had to influence a decision at a senior level.

## Preparation tips

- Be prepared to discuss your career trajectory and long-term goals.
- Think about how you can contribute to the team and company's success.
- Showcase your leadership and mentorship experiences.
- Ask thoughtful questions about the team, company strategy, and challenges.
- Reiterate your interest and enthusiasm for the role.