Rubrik interview experience

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rubrik
· Software Engineer· India· 2.5y exp
April 16, 2026 · 1 reads

Summary

I interviewed for a Software Engineer role at Rubrik in India and was rejected after several system coding, DSA, and HLD rounds.

Full Experience

Hi community, I recently interviewed at Rubrik and I am here to share my interview experience for Software engineer role - India.

Current company: Microsoft, 2.5 YOE

Round 1: System coding 1 [Last week of January] Implement a bounded thread safe queue. Implement a thread pool task executor. Folllow ups: How to handle exeception in task, how to implement timeout, or reclaim thread.

Round 2: System coding 2 [Last week of January] Implement reader writer lock. Various cases and how to handle that. Didn't go well so had to give a redo.

Round 3: System coding 3 (redo) [Second week of February] Memory allocation problem. Implement a thread safe - Car and Truck parking system in a 1-D array where each car takes 1 unit space and a truck takes 2 unit space.

Round 4: DSA [First week of March] Leetcode problem: https://leetcode.com/problems/count-lattice-points-inside-a-circle/description/ With strict constraints. `Number of circles can be 1e3` and `0 <= X, Y <= 1e5`

Round 5: HLD [Second week of March] Count the highest occurring word in a github across all repository. Infra given is set of VMs and you can run any piece of code on those VMs.

Round 6: Hiring manager round [Third week of March] Resume discussion and situational questions.

Verdict: Rejected [Mid April] Recruiter stated the HM said no due to the less depth in problems I have solved and they don't match to Rubrik complexity level. Other technical rounds went well and had positive feedback.

*Update: Added timeline* *PS: The recruiter hinted to take rounds as soon as possible as role gets filled quickly but I wasn't prepared so I took time before each round.*

Interview Questions (6)

1.

Bounded Thread-Safe Queue

Data Structures & Algorithms

Implement a bounded thread safe queue.

2.

Thread Pool Task Executor

Data Structures & Algorithms

Implement a thread pool task executor. Follow‑up considerations include handling exceptions in tasks, implementing timeouts, and reclaiming threads.

3.

Reader‑Writer Lock

Data Structures & Algorithms

Implement a reader writer lock with various cases and appropriate handling.

4.

Car and Truck Parking System

Data Structures & Algorithms

Memory allocation problem: implement a thread‑safe Car and Truck parking system in a 1‑D array where each car occupies 1 unit space and each truck occupies 2 unit spaces.

5.

Count Lattice Points Inside a Circle

Data Structures & Algorithms

Given up to 1,000 circles with coordinates (X, Y) where 0 ≤ X, Y ≤ 100,000, count the lattice points that lie inside each circle. (LeetCode problem)

6.

Highest Occurring Word Across GitHub Repositories

System Design

Count the word that occurs most frequently across all repositories in a GitHub organization. The infrastructure provided consists of a set of VMs on which any code can be executed.

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