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.
Ability to articulate complex ideas clearly.
Active listening and responsiveness to feedback.
Constructive engagement with interviewers.
Demonstrated ability to work effectively in a team.
Proactive approach to learning and skill development.
Ownership and accountability for work.
Alignment with Cohesity's mission and values.
Potential for growth and impact within the organization.
Preparation
How to prepare.
Tips
01Thoroughly review fundamental computer science concepts, including data structures, algorithms, operating systems, and networking.
02Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
03Study system design principles and common architectural patterns for distributed systems.
04Prepare to discuss your past projects in detail, highlighting your contributions, challenges, and learnings.
05Research Cohesity's products, technology stack, and company culture.
06Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
07Understand 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).
02
Phase 02 of 05
System Design
Weeks 3-4: System Design principles and case studies.
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.
03
Phase 03 of 05
Operating Systems & Networking
Week 5: OS and Networking fundamentals.
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.
04
Phase 04 of 05
Behavioral & Project Preparation
Week 6: Behavioral questions (STAR) and project review.
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.
05
Phase 05 of 05
Company Research & Mock Interviews
Week 7: Company research and mock interviews.
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.
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).
Location
India
Interview focus
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.
Common questions
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?
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.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
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.
What they 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
Problem-solving approach.
Coding proficiency.
Understanding of data structures and algorithms.
Ability to write clean, efficient, and testable code.
Sample questions
Given an array of integers, find the contiguous subarray with the largest sum.
ArrayDynamic Programming
Implement a function to reverse a linked list.
Linked ListPointers
Find the kth smallest element in a binary search tree.
TreeBinary Search TreeRecursion
Prep for this round
01Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
02Be prepared to explain your approach and the time/space complexity of your solution.
03Write clean, well-structured, and commented code.
04Think about edge cases and how to handle them.
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.
Hard
System Design Interview · 60 min · Senior Software Engineer / Staff Engineer
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.
What they 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
System design principles.
Scalability and performance considerations.
Reliability and fault tolerance.
Trade-off analysis.
Understanding of distributed systems concepts.
Sample questions
Design a distributed key-value store.
System DesignDistributed SystemsDatabases
Design a system to count unique visitors to a website.
System DesignScalabilityData Processing
Design a notification service.
System DesignMessagingScalability
Prep for this round
01Study common system design patterns and principles.
02Practice designing various systems, considering different requirements.
03Be prepared to discuss trade-offs between different design choices.
04Think about scalability, availability, consistency, and fault tolerance.
05Familiarize yourself with technologies like load balancers, databases, caches, and message queues.
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.
Med
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
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.
What they 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
Behavioral competencies.
Teamwork and collaboration skills.
Leadership potential.
Problem-solving in non-technical contexts.
Cultural fit.
Sample questions
Tell me about a time you had a conflict with a teammate and how you resolved it.
BehavioralTeamworkConflict Resolution
Describe a project you are particularly proud of and your role in it.
BehavioralProject ExperienceImpact
How do you handle constructive criticism?
BehavioralFeedbackGrowth Mindset
Tell me about a time you failed. What did you learn from it?
BehavioralFailureLearning
Prep for this round
01Prepare examples for common behavioral questions (e.g., teamwork, conflict resolution, failure, success, leadership).
02Use the STAR method to structure your answers.
03Be honest and authentic in your responses.
04Show enthusiasm for the role and Cohesity.
05Think about your career goals and how this role fits into them.
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.
Hard
Managerial / Leadership Interview · 60 min · Director of Engineering / VP of Engineering
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.
What they 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
Overall technical expertise.
Leadership and mentorship capabilities.
Strategic thinking.
Communication and influence.
Alignment with team and company goals.
Sample questions
What are your long-term career aspirations?
BehavioralCareer GoalsMotivation
How would you mentor a junior engineer joining the team?
LeadershipMentorshipTeamwork
What do you think are the biggest challenges facing the data management industry today?
Industry KnowledgeStrategic ThinkingDomain Expertise
Describe a time you had to influence a decision at a senior level.
LeadershipInfluenceCommunication
Prep for this round
01Be prepared to discuss your career trajectory and long-term goals.
02Think about how you can contribute to the team and company's success.
03Showcase your leadership and mentorship experiences.
04Ask thoughtful questions about the team, company strategy, and challenges.
05Reiterate your interest and enthusiasm for the role.
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.