Scale Engineer

Software Engineer

Software EngineerSenior Software EngineerHard

This interview process is designed to assess candidates for the Senior Software Engineer role at Hotstar. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.

Rounds·3

Timeline·~7d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·165 min

Evaluation

What they measure.

  • Problem-solving approach
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice system design problems, focusing on scalability and trade-offs.
  3. Prepare to discuss past projects in detail, highlighting your contributions and challenges.
  4. Understand common software engineering best practices (testing, CI/CD, code reviews).
  5. Research Hotstar's products, technology stack, and recent news.
  6. Prepare 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 & Algorithms

Weeks 1-2: DSA fundamentals (Medium/Hard LeetCode).

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy). Practice problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.

Questions

Commonly asked.

  • Design a system to handle real-time notifications for millions of users.
  • How would you optimize a database query that is taking too long?
  • Describe a situation where you had a technical disagreement with a colleague and how you resolved it.
  • What are the challenges of building a scalable video streaming service?
  • Explain the concept of eventual consistency and when it's appropriate to use.
  • How do you approach debugging a complex distributed system?
  • Tell me about a time you failed and what you learned from it.
  • Design an API for a ride-sharing service.
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you stay updated with the latest technologies?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Deep dive into distributed systems and scalability relevant to a large user base.Emphasis on leadership and mentoring junior engineers.Understanding of cloud-native architectures (AWS/GCP).

Common questions

  • How would you design a recommendation system for Hotstar?
  • Discuss a challenging project you led and how you overcame obstacles.
  • Explain the trade-offs between different caching strategies for a video streaming service.

Tips

  • Be prepared to discuss your experience with large-scale data processing.
  • Highlight instances where you influenced technical direction or mentored teams.
  • Familiarize yourself with Hotstar's tech stack and challenges in the Indian market.

Rounds

Round-by-round.

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

DSA

Coding questions at Hotstar.

Frequently reported on Hotstar loops

View all at Hotstar

Other guides

More at Hotstar.