4b

Software EngineerSDE IIIHard

This interview process is for a Software Engineer role at OYO, specifically for the SDE III level. The interview is designed to assess a candidate's technical proficiency, problem-solving skills, system design capabilities, and cultural fit within the organization.

Rounds·3

Timeline·~10d

Experience·5 - 8 yrs

Comp band·US$2500000 - US$3500000

Interview time·165 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
  3. Study system design concepts and common architectural patterns.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method.
  5. Research OYO's products, services, and company culture.
  6. Understand the technologies and tools commonly used at OYO.
  7. Practice explaining your thought process clearly and concisely.

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. Solve 50+ problems.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, greedy algorithms). Solve at least 50 problems covering these topics.

Questions

Commonly asked.

  • Design a URL shortening service.
  • Implement a function to find the k-th largest element in an unsorted array.
  • Explain the CAP theorem and its implications in distributed systems.
  • Describe a situation where you had to deal with a conflict within your team.
  • How would you design a rate limiter for an API?
  • What are the differences between processes and threads?
  • Tell me about a time you failed and what you learned from it.
  • Design a system to handle real-time analytics for user activity on the OYO app.
  • How do you approach code reviews?
  • What are your thoughts on microservices vs. monolithic architecture?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Deep understanding of distributed systems and microservices architecture.Experience with high-traffic applications and performance optimization.Proficiency in cloud-native technologies and practices.Ability to mentor junior engineers and lead technical discussions.

Common questions

  • How would you design a real-time notification system for a travel app?
  • Discuss a challenging bug you encountered and how you debugged it.
  • Explain the trade-offs between SQL and NoSQL databases for a booking system.
  • How do you ensure scalability and reliability in a distributed system?
  • Describe your experience with cloud platforms (AWS, Azure, GCP).

Tips

  • Emphasize experience with large-scale systems and cloud deployments.
  • Be prepared to discuss specific architectural patterns and their applications.
  • Highlight any contributions to open-source projects or technical leadership roles.
  • Showcase a strong understanding of DevOps principles and CI/CD pipelines.

Rounds

Round-by-round.

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

Hard

Technical Interview - Data Structures & Algorithms · 60 min · Software Engineer / Senior Software Engineer

This round focuses on assessing the candidate's core technical skills. It typically involves solving 1-2 coding problems that require a good understanding of data structures and algorithms. The interviewer will evaluate the candidate's approach to problem-solving, their ability to write clean and efficient code, and their understanding of time and space complexity.

What they look for

Strong problem-solving skillsProficiency in a programming language (e.g., Java, Python, C++)Understanding of data structures and algorithmsAbility to write clean and efficient code

Evaluation

  • Correctness of the solution
  • Efficiency of the algorithm (time and space complexity)
  • Code readability and maintainability
  • Ability to handle edge cases and constraints

Sample questions

  • Given a binary tree, find its inorder traversal.

    TreeRecursionIteration
  • Find the median of two sorted arrays.

    ArrayBinary SearchAlgorithm
  • Implement a Least Recently Used (LRU) cache.

    Data StructureHash MapLinked List

Prep for this round

  1. 01Practice coding problems regularly.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your thought process clearly.
  4. 04Consider edge cases and constraints.

Common rejection reasons

  • ×Inability to articulate thought process
  • ×Poorly structured code
  • ×Incorrect or inefficient algorithms
  • ×Lack of attention to edge cases

DSA

Coding questions at oyo.

Frequently reported on oyo loops

Other guides

More at oyo.