Member of Technical Staff 3

Software EngineerMTS3Medium to Hard

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

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Study system design principles for scalability, availability, and fault tolerance.
  4. Understand distributed systems concepts: CAP theorem, consensus algorithms, replication strategies.
  5. Familiarize yourself with cloud computing (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  6. Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
  7. Research Nutanix's products and technologies to understand their business and technical landscape.
  8. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  9. Prepare 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.

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.

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

  1. 01Practice coding problems on platforms like LeetCode, HackerRank.
  2. 02Focus on understanding the time and space complexity of your solutions.
  3. 03Be prepared to explain your approach before you start coding.
  4. 04Write clean, well-commented code.
  5. 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

DSA

Coding questions at Nutanix.

Frequently reported on Nutanix loops

Other guides

More at Nutanix.