Scale Engineer

Member of Technical Staff 2

Software EngineerMTS2Medium to Hard

Nutanix is looking for a talented Software Engineer at the Member of Technical Staff 2 (MTS2) level to join our dynamic team. This role involves designing, developing, and maintaining scalable and robust software solutions that power our cloud infrastructure. You will collaborate with cross-functional teams to deliver high-quality products and contribute to the innovation that defines Nutanix.

Rounds·3

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$110000 - US$150000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study distributed systems concepts (CAP theorem, consensus algorithms, consistency models).
  4. Understand system design principles and common patterns.
  5. Prepare for behavioral questions by reflecting on past experiences using the STAR method.
  6. Research Nutanix's products, culture, and recent news.
  7. Practice explaining your thought process clearly and concisely.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these efficiently and analyze their time/space complexity.

Questions

Commonly asked.

  • Design a distributed key-value store.
  • How would you design a rate limiter?
  • Explain the difference between TCP and UDP.
  • What are microservices and what are their advantages/disadvantages?
  • Describe a time you disagreed with a teammate and how you resolved it.
  • How do you handle concurrency in your code?
  • What is idempotency and why is it important in distributed systems?
  • Design a system to handle real-time notifications.
  • Tell me about a challenging bug you encountered and how you debugged it.
  • What are your strengths and weaknesses as a software engineer?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

North America

Interview focus

Deep understanding of distributed systems principles.Experience with cloud-native technologies and architectures.Problem-solving skills in complex, high-throughput environments.Ability to design for scalability, reliability, and fault tolerance.

Common questions

  • Discuss a challenging project you worked on in a distributed systems environment.
  • How would you design a distributed cache for a large-scale application?
  • Explain the CAP theorem and its implications for distributed databases.
  • Describe your experience with containerization technologies like Docker and Kubernetes.
  • What are the trade-offs between different consensus algorithms (e.g., Paxos, Raft)?
  • How do you approach debugging complex distributed systems?
  • Tell me about a time you had to optimize the performance of a critical system.

Tips

  • Brush up on distributed systems concepts, including consistency models, fault tolerance, and concurrency control.
  • Familiarize yourself with cloud platforms (AWS, Azure, GCP) and their services.
  • Practice system design problems, focusing on distributed architectures.
  • Be prepared to discuss your experience with container orchestration and microservices.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at Nutanix.

Frequently reported on Nutanix loops

View all at Nutanix

Other guides

More at Nutanix.