Scale Engineer

Software Engineer

Software EngineerSDE 2Medium to Hard

This interview process is designed to assess candidates for the Software Engineer (SDE 2) role at Dream11. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the organization.

Rounds·4

Timeline·~7d

Experience·3 - 6 yrs

Comp band·US$110000 - US$150000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Brush up on fundamental data structures and algorithms (Arrays, Linked Lists, Trees, Graphs, Hash Tables, Sorting, Searching).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
  3. Study system design concepts: distributed systems, microservices, caching, load balancing, databases (SQL/NoSQL), message queues.
  4. Review common behavioral interview questions and prepare STAR method (Situation, Task, Action, Result) answers.
  5. Understand the core business of Dream11 and the challenges of a fantasy sports platform.
  6. Prepare questions to ask the interviewer 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 Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. Practice 10-15 problems per topic.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Maps) and their common operations. Practice basic algorithms like sorting and searching. Solve 10-15 problems per data structure/algorithm type.

Questions

Commonly asked.

  • Design a system to handle real-time score updates for millions of users in a fantasy sports app.
  • Given a large dataset of user activity, how would you identify fraudulent behavior?
  • Explain the concept of eventual consistency and when it's appropriate to use.
  • How would you design a rate limiter for an API?
  • Describe a time you had to deal with a performance bottleneck in a production system.
  • What are the trade-offs between monolithic and microservices architectures?
  • How do you ensure data integrity in a distributed system?
  • Write a function to find the k-th largest element in an unsorted array.
  • Explain the difference between TCP and UDP.
  • How would you design a notification system for a large-scale application?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

India

Interview focus

Understanding of distributed systems and microservices architecture.Experience with high-volume, low-latency applications.Proficiency in data structures and algorithms relevant to real-time data processing.Ability to design scalable and resilient systems.Knowledge of specific technologies used at Dream11 (e.g., Java, Python, Go, Kafka, Kubernetes).

Common questions

  • How would you design a system to handle real-time score updates for millions of users?
  • Discuss a challenging bug you encountered and how you debugged it.
  • Explain the trade-offs between SQL and NoSQL databases for a fantasy sports platform.
  • How do you ensure scalability and fault tolerance in a high-traffic application?
  • Describe your experience with cloud platforms like AWS or Azure.

Tips

  • Familiarize yourself with Dream11's tech stack and product.
  • Prepare to discuss your contributions to past projects in detail.
  • Practice explaining complex technical concepts clearly and concisely.
  • Be ready to whiteboard system designs and algorithm solutions.
  • Research common challenges in the online gaming/fantasy sports industry.

Rounds

Round-by-round.

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

DSA

Coding questions at Dream11.

Frequently reported on Dream11 loops

View all at Dream11

Other guides

More at Dream11.