[Offer] JioHotstar | Staff Software Engineer | Bangalore | Aug 2025
- Location
- Bangalore
- Posted
- 10 May 2026
418 reads
Summary
Cleared all rounds including System Design, Low-Level Design, Behavioral, and HR. Focused heavily on design principles, concurrency, and scalability.
How it went
Round 1 - High Level Design (1 Hour)
Question: Design Uber
- How to handle high throughput
- Discussion on GeoHashing vs Quad Tree
- Concurrency and Race Condition
- Fault Tolerance and Sudden Spikes
- Client-Server Communications
NOTE: Overall in depth discussion for any topics I had mentioned to check my technical depth.
Round 2 - Low Level Design (1 Hour)
Question: API Rate Limiting
- Discuss various algorithms
- Choose to implement one of them in Java
- Slight hint of DSA (<5%) during the implementation to understand my knowledge
- Had to have full running code
- Focus was on Design Patterns, Concurrency(Thread)
- Other optimization techniques (Background periodical memory cleanups and other AdHoc Edge cases).
- Scale & Performance Bottlenecks (Due to Single thread blocks using
synchronized)
Round 3 - Hiring Manager (1 Hour)
- Questions around
- Junior engineer mentoring
- Your role in current team/org
- How do you handle the vision of the team(tech roadmap)
- My approach towards oncall
- Various situational based (Tell me about a time when you did X).
- Questions around previous projects(in depth) and try to give me a situation to scale those system (Covered HLD).
Round 4 - Bar Raiser (1 Hour)
- Lots of discussion about my background and about life journey. He was mostly trying to understand what kind of person I am and what motivates me kind of thing.
- Towards the end he gave me problem, we discussed briefly and then he gave me 30 mins more (after the interview) to complete whatever I had discussed and share it with him.
Round 5 - HR Round (30 Mins)
- Basic HR based question, just do a ChatGPT. No curve ball.
Questions asked (2)
- 01
Design Uber
System Design · Hard
Design the architecture for Uber considering the following aspects:
- How to handle high throughput
- Discussion on GeoHashing vs Quad Tree
- Concurrency and Race Condition
- Fault Tolerance and Sudden Spikes
- Client-Server Communications
- 02
API Rate Limiting Implementation
System Design · Medium
Implement an API rate limiting mechanism in Java using one of the discussed algorithms such as Token Bucket or Fixed Window Counter. The focus should be on:
- Using appropriate Design Patterns
- Handling concurrency issues (e.g., Thread safety)
- Optimization techniques like background cleanup tasks
- Avoiding performance bottlenecks due to synchronized methods