Scale Engineer

Software Engineer

Software EngineerL4Medium to Hard

This interview process is for a Software Engineer (L4) position at Twitch. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·3

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$130000 - US$180000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving approach and analytical skills
  • Technical depth and breadth of knowledge
  • System design and architectural thinking
  • Coding proficiency and best practices
  • Communication and collaboration skills
  • Cultural fit and alignment with Twitch values

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte.
  3. Study system design principles and common architectural patterns.
  4. Understand concurrency, multithreading, and distributed systems concepts.
  5. Prepare to discuss your past projects and experiences in detail.
  6. Research Twitch's mission, values, and products.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  8. Prepare questions to ask the interviewers about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity.

Questions

Commonly asked.

  • Design a system to recommend videos to users on Twitch.
  • How would you handle a sudden surge in live stream viewers?
  • Write a function to find the k-th largest element in an unsorted array.
  • Describe a time you disagreed with a technical decision and how you handled it.
  • What are the challenges of building a real-time chat system for millions of users?
  • Explain the concept of eventual consistency.
  • How do you approach testing your code?
  • Tell me about a time you failed and what you learned from it.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

San Francisco, USA

Interview focus

Deep dive into distributed systems design relevant to live streaming.Emphasis on scalability and performance optimization for high-traffic applications.Understanding of real-time data processing and event-driven architectures.Experience with microservices and containerization technologies.

Common questions

  • How would you design a real-time notification system for Twitch?
  • Discuss a challenging debugging scenario you faced and how you resolved it.
  • Explain the trade-offs between SQL and NoSQL databases for a large-scale streaming platform.
  • How do you ensure code quality and maintainability in a fast-paced environment?
  • Describe your experience with cloud platforms like AWS, Azure, or GCP.

Tips

  • Familiarize yourself with Twitch's core products and services.
  • Prepare to discuss specific examples of large-scale systems you've worked on.
  • Be ready to whiteboard system designs and discuss trade-offs.
  • Showcase your understanding of asynchronous programming and concurrency.
  • Highlight any experience with video streaming technologies or protocols.

Rounds

Round-by-round.

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

DSA

Coding questions at Twitch.

Frequently reported on Twitch loops

View all at Twitch

Other guides

More at Twitch.