Software Engineer II

Software EngineerL4Medium to Hard

Rubrik is seeking a talented Software Engineer II (L4) to join our dynamic team. This role involves designing, developing, and maintaining scalable and robust software solutions that power our industry-leading data management platform. You will collaborate with cross-functional teams to deliver high-quality products and contribute to the continuous improvement of our engineering practices.

Rounds·4

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$120000 - US$160000

Interview time·180 min

Evaluation

What they measure.

  • Technical Proficiency: Depth of knowledge in relevant programming languages, data structures, algorithms, and system design principles.
  • Problem-Solving Skills: Ability to analyze problems, devise effective solutions, and articulate them clearly.
  • Coding Skills: Quality, efficiency, and correctness of code written during coding rounds.
  • System Design: Ability to design scalable, reliable, and maintainable systems.
  • Behavioral Competencies: Communication, teamwork, leadership potential, and cultural fit.
  • Experience Relevance: How well your past experience aligns with the requirements of the role.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: Data Structures, Algorithms, Operating Systems, Databases, Networking.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
  3. Study system design principles and common patterns for building scalable applications.
  4. Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and learnings.
  5. Brush up on behavioral interview questions and prepare STAR method (Situation, Task, Action, Result) answers.
  6. Understand Rubrik's products and the challenges in the data management space.
  7. Research common interview questions for Software Engineer II roles at similar companies.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Algorithms (Easy-Medium).

Weeks 1-2: Focus on Data Structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice coding problems related to these topics on LeetCode (Easy to Medium).

Questions

Commonly asked.

  • Design a system to handle real-time analytics for a large e-commerce platform.
  • Given a binary tree, find the lowest common ancestor of two given nodes.
  • How would you design a rate limiter for an API?
  • Describe a situation where you had to deal with a production issue. What was your approach?
  • What are the differences between processes and threads?
  • Implement a function to reverse a linked list.
  • How do you approach testing your code?
  • Tell me about a time you failed. What did you learn from it?
  • Design a distributed key-value store.
  • Explain the concept of ACID properties in databases.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA

Interview focus

System Design: Emphasis on distributed systems, scalability, and fault tolerance.Problem-Solving: Ability to break down complex problems and articulate solutions.Coding Proficiency: Clean, efficient, and well-tested code.Collaboration: Teamwork and communication skills.

Common questions

  • How would you design a distributed caching system for a high-traffic web application?
  • Describe a challenging technical problem you solved and how you approached it.
  • What are the trade-offs between different database technologies (SQL vs. NoSQL)?
  • How do you ensure code quality and maintainability in a large codebase?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • For US-based interviews, be prepared for in-depth discussions on distributed systems and cloud technologies.
  • Practice explaining your thought process clearly and concisely.
  • Familiarize yourself with common data structures and algorithms, and their applications in real-world scenarios.
  • Be ready to discuss your past projects in detail, highlighting your contributions and learnings.

Rounds

Round-by-round.

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

Med

Technical Coding Interview · 45 min · Software Engineer (Peer)

This round focuses on your core programming skills. You will be presented with one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean and correct code, and analyze its time and space complexity. Expect to write code in a shared editor and discuss your approach throughout the process.

What they look for

A systematic approach to problem-solving.Clean, well-structured, and efficient code.Understanding of time and space complexity.Ability to explain the solution and its trade-offs.

Evaluation

  • Problem-solving approach.
  • Coding proficiency (correctness, efficiency, readability).
  • Understanding of data structures and algorithms.
  • Ability to communicate technical ideas.

Sample questions

  • Given an array of integers, return indices of the two numbers such that they add up to a specific target.

    ArrayHash TableTwo Pointers
  • Implement a function to check if a binary tree is a valid Binary Search Tree.

    TreeDepth-First SearchRecursion
  • Find the kth largest element in an unsorted array.

    ArraySortingHeap (Priority Queue)

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on common data structures and algorithms.
  2. 02Be prepared to explain your thought process step-by-step.
  3. 03Write clean, readable, and well-commented code.
  4. 04Consider edge cases and test your solution thoroughly.
  5. 05Understand the time and space complexity of your solution.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures and algorithms.
  • ×Poor coding practices (e.g., inefficient code, lack of error handling).
  • ×Inability to handle follow-up questions or edge cases.
  • ×Not demonstrating problem-solving skills.

DSA

Coding questions at Rubrik.

Frequently reported on Rubrik loops

Other guides

More at Rubrik.