The Member of Technical Staff 3 (MTS3) role at Nutanix is a mid-level engineering position focused on designing, developing, and maintaining scalable and reliable software solutions within the Nutanix product portfolio. This role requires a strong foundation in computer science principles, excellent problem-solving skills, and the ability to work effectively in a collaborative team environment. MTS3 engineers are expected to contribute to all phases of the software development lifecycle, from requirements gathering and design to implementation, testing, and deployment.
Rounds·3
Timeline·~14d
Experience·5 - 8 yrs
Comp band·US$140000 - US$180000
Interview time·150 min
Evaluation
What they measure.
Problem-solving ability
Algorithmic thinking
Data structures knowledge
System design and architecture skills
Understanding of distributed systems
Coding proficiency and best practices
Communication skills
Teamwork and collaboration
Adaptability and learning agility
Ability to articulate technical concepts clearly
Active listening skills
Ability to ask clarifying questions
Enthusiasm and passion for technology
Alignment with Nutanix values
Motivation for the role and company
Career aspirations and growth potential
Cultural fit
Preparation
How to prepare.
Tips
01Review fundamental computer science concepts: data structures, algorithms, operating systems, networking.
02Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
03Study system design principles for scalability, availability, and fault tolerance.
04Understand distributed systems concepts: CAP theorem, consensus algorithms, replication strategies.
05Familiarize yourself with cloud computing (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
06Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
07Research Nutanix's products and technologies to understand their business and technical landscape.
08Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
09Prepare questions to ask the interviewer about the role, team, and company culture.
Study plan
Fig · Study plan — 06 phases
01 / 06
01
Phase 01 of 06
Data Structures and Algorithms
Weeks 1-2: Data Structures & Algorithms (Medium LeetCode)
Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language. Solve 10-15 medium LeetCode problems per week.
02
Phase 02 of 06
System Design
Weeks 3-4: System Design Fundamentals & Case Studies
Weeks 3-4: Deep dive into system design concepts. Study topics like load balancing, caching, database design (SQL vs. NoSQL), message queues, and distributed transactions. Read system design case studies and practice designing common systems (e.g., Twitter feed, URL shortener).
03
Phase 03 of 06
Distributed Systems
Week 5: Distributed Systems Concepts
Week 5: Focus on distributed systems principles. Understand CAP theorem, consistency models, consensus algorithms (Paxos, Raft), replication, and partitioning. Review common distributed system patterns.
04
Phase 04 of 06
Behavioral and Company Fit
Week 6: Behavioral Questions & Company Research
Week 6: Prepare for behavioral questions. Think about your past experiences and how they align with the Nutanix values. Practice answering questions using the STAR method. Also, prepare questions to ask the interviewer.
05
Phase 05 of 06
Cloud, Containers & Concurrency
Week 7: Cloud, Containers & Concurrency
Week 7: Review cloud computing (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Understand their core services and how they are used in modern application development. Practice coding problems related to concurrency and multithreading.
06
Phase 06 of 06
Mock Interviews and Final Review
Week 8: Mock Interviews & Final Review
Week 8: Mock interviews. Practice with peers or mentors to simulate the interview environment. Focus on articulating your thoughts clearly and managing your time effectively. Review any weak areas identified during mock interviews.
Questions
Commonly asked.
Design a distributed caching system.
How would you design a rate limiter?
Explain the difference between TCP and UDP.
Describe a situation where you had to deal with a production issue. How did you resolve it?
What are the challenges in building a highly available system?
Implement a function to find the k-th largest element in an unsorted array.
Discuss your experience with microservices architecture.
How do you handle backward compatibility in APIs?
Tell me about a time you disagreed with a technical decision. What did you do?
What are the trade-offs of using a message queue?
Locations
Regional differences.
Fig · Regions — 02 locations
01 / 02
Location
USA
Interview focus
Deep dive into distributed systems concepts.System design and architecture for scalability and resilience.Problem-solving and algorithmic thinking.Understanding of cloud-native technologies and practices.Experience with large-scale data processing.
Common questions
Discuss a challenging technical problem you solved at your previous role.
How do you approach designing a distributed system for high availability?
Explain the trade-offs between different database technologies (e.g., SQL vs. NoSQL).
Describe your experience with cloud computing platforms (AWS, Azure, GCP).
How do you ensure code quality and maintainability in a large codebase?
Tips
Be prepared to discuss specific examples of complex systems you've worked on.
Emphasize your understanding of distributed systems principles like consensus, replication, and fault tolerance.
Showcase your ability to think about trade-offs and make informed design decisions.
Familiarize yourself with Nutanix's core technologies and products.
Practice explaining your thought process clearly and concisely.
Location
India
Interview focus
Performance optimization and tuning.Microservices architecture and best practices.Containerization and orchestration.Concurrency control and multithreading.API design and development.
Common questions
Tell me about a time you had to optimize the performance of a system.
How would you design a caching strategy for a web application?
What are the key considerations when building microservices?
Describe your experience with containerization technologies like Docker and Kubernetes.
How do you handle concurrency and parallelism in your code?
Tips
Highlight your experience in improving system performance and efficiency.
Be ready to discuss your approach to designing and implementing microservices.
Demonstrate your understanding of containerization and its benefits.
Prepare examples of how you've managed concurrency in your projects.
Understand the nuances of working in a geographically distributed team.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Med
Data Structures And Algorithms · 45 min · Software Engineer (Peer)
This round focuses on assessing your fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean and correct code, and explain your thought process. Expect questions that test your knowledge of arrays, strings, linked lists, trees, graphs, sorting, searching, and dynamic programming.
What they look for
Ability to translate a problem into codeKnowledge of common data structures and algorithmsLogical thinking and problem-solving skillsClean and readable code
Evaluation
Correctness of code
Efficiency of algorithms
Understanding of data structures
Problem-solving approach
Coding style and clarity
Sample questions
Given a binary tree, find its inorder traversal.
TreeRecursionIteration
Implement a function to reverse a linked list.
Linked ListPointers
Find the first non-repeating character in a string.
StringHash Map
Prep for this round
01Practice coding problems on platforms like LeetCode, HackerRank.
02Focus on understanding the time and space complexity of your solutions.
03Be prepared to explain your approach before you start coding.
04Write clean, well-commented code.
05Test your code with edge cases.
Common rejection reasons
×Inability to articulate thought process
×Poor understanding of fundamental data structures and algorithms
×Incorrect or inefficient solutions to coding problems
×Lack of clarity in communication
Hard
System Design · 60 min · Senior Software Engineer / Architect
This round assesses your ability to design and architect complex, scalable, and reliable software 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 various aspects of the design, including data storage, APIs, scalability, availability, and potential bottlenecks. The interviewer will probe your understanding of distributed systems concepts and your ability to make informed design decisions.
What they look for
Ability to design complex systems from scratchKnowledge of distributed systems patterns and trade-offsConsideration of scalability, availability, and fault toleranceStructured approach to problem-solving
Evaluation
System design approach
Scalability considerations
Availability and reliability design
Trade-off analysis
Understanding of distributed systems principles
Clarity of explanation
Sample questions
Design a system like Twitter's news feed.
System DesignScalabilityDistributed SystemsDatabases
Design a distributed key-value store.
System DesignDistributed SystemsConsistencyScalability
How would you design a rate limiter for an API?
System DesignConcurrencyAlgorithms
Prep for this round
01Study system design principles and common patterns.
02Practice designing various systems, considering different requirements.
03Understand trade-offs between different design choices.
04Be familiar with distributed systems concepts like CAP theorem, consistency models.
05Think about failure scenarios and how to mitigate them.
Common rejection reasons
×Inability to design scalable and reliable systems
×Lack of understanding of distributed systems concepts
×Poor trade-off analysis
×Not considering failure scenarios
Med
Behavioral And Managerial · 45 min · Hiring Manager
This round is typically conducted by the hiring manager and focuses on your behavioral aspects, career aspirations, and overall fit with the team and Nutanix culture. You'll be asked questions about your past experiences, how you handle challenges, your strengths and weaknesses, and why you're interested in this specific role and company. This is also an opportunity for you to ask questions about the team, projects, and career growth at Nutanix.
What they look for
Ability to work effectively in a teamGood communication and interpersonal skillsAlignment with company valuesPassion for technology and learning
Evaluation
Teamwork and collaboration
Communication skills
Problem-solving approach
Cultural fit
Motivation and career goals
Sample questions
Tell me about a time you had a conflict with a teammate. How did you resolve it?
BehavioralTeamworkConflict Resolution
What are your strengths and weaknesses as an engineer?
BehavioralSelf-awareness
Why are you interested in Nutanix and this specific role?
BehavioralMotivationCompany Fit
Prep for this round
01Prepare examples using the STAR method for common behavioral questions.
02Research Nutanix's mission, values, and culture.
03Be ready to discuss your career goals and how this role fits into them.
04Prepare thoughtful questions to ask the hiring manager.