G8

Software EngineerL6Hard

The G8 interview process for a Software Engineer at Rubrik (L6 level) is a comprehensive evaluation designed to assess deep technical expertise, problem-solving abilities, system design skills, and cultural fit. It is rigorous and aims to identify candidates who can lead complex projects and mentor other engineers.

Rounds·4

Timeline·~14d

Experience·7 - 10 yrs

Comp band·US$180000 - US$220000

Interview time·210 min

Evaluation

What they measure.

  • Depth of technical knowledge in core areas (data structures, algorithms, operating systems, networking).
  • Problem-solving approach and analytical skills.
  • Ability to design scalable, reliable, and maintainable systems.
  • Communication skills and clarity of thought.
  • Leadership potential and ability to influence technical direction.
  • Cultural fit and alignment with Rubrik's values.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts.
  2. Practice coding problems focusing on data structures and algorithms.
  3. Study system design principles and common patterns.
  4. Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
  5. Research Rubrik's products, technology stack, and company culture.
  6. Prepare thoughtful questions to ask the interviewers.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (LeetCode Medium/Hard).

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 and analyze their time and space complexity. Solve problems on platforms like LeetCode (Medium/Hard).

Questions

Commonly asked.

  • Design a distributed caching system.
  • How would you implement a rate limiter for an API?
  • Explain the CAP theorem and its implications.
  • Describe a time you had a significant disagreement with a colleague and how you resolved it.
  • Tell me about a complex bug you encountered and how you debugged it.
  • How do you approach designing for fault tolerance?
  • What are the trade-offs between monolithic and microservices architectures?
  • How would you scale a social media platform to handle millions of concurrent users?
  • Describe a project where you had to make significant technical trade-offs.
  • What are your thoughts on the future of cloud computing?
  • How do you stay updated with new technologies?
  • Tell me about a time you failed and what you learned from it.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

North America

Interview focus

Emphasis on practical experience with large-scale distributed systems.Deep dives into cloud-native architectures and microservices.Understanding of operational excellence and incident management.

Common questions

  • Discuss a time you had to deal with a complex distributed system failure.
  • How would you design a system to handle a sudden surge in user traffic?
  • Explain the trade-offs between different database technologies for a high-throughput application.

Tips

  • Be prepared to discuss specific examples of systems you've designed or significantly contributed to.
  • Familiarize yourself with common cloud provider services (AWS, Azure, GCP) and their use cases.
  • Highlight experience with CI/CD pipelines and infrastructure as code.

Rounds

Round-by-round.

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

Hard

Data Structures And Algorithms Interview · 60 min · Senior Software Engineer or Staff Engineer

This round focuses on your core programming skills. You will be given one or two complex coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean code, and analyze its complexity. Expect follow-up questions about edge cases, optimizations, and alternative approaches.

What they look for

A systematic approach to problem-solving.Clean and efficient code.Understanding of time and space complexity.Ability to communicate the solution clearly.

Evaluation

  • Problem-solving approach.
  • Coding proficiency.
  • Understanding of data structures and algorithms.
  • Ability to write clean, efficient, and testable code.

Sample questions

  • Given a binary tree, find the lowest common ancestor of two given nodes in the tree.

    Data StructuresAlgorithmsTrees
  • Implement a function to find the k-th largest element in an unsorted array.

    Data StructuresAlgorithmsArraysSorting
  • Design a data structure that supports insert, delete, search, and getRandom in O(1) average time.

    Data StructuresAlgorithmsHash Tables

Prep for this round

  1. 01Practice coding on a whiteboard or shared editor.
  2. 02Think out loud and explain your thought process.
  3. 03Test your code with various inputs, including edge cases.
  4. 04Be prepared to discuss time and space complexity.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of depth in understanding fundamental concepts.
  • ×Poorly designed solutions without considering trade-offs.
  • ×Inability to handle follow-up questions or edge cases.

DSA

Coding questions at Rubrik.

Frequently reported on Rubrik loops

Other guides

More at Rubrik.