Scale Engineer

Software Engineer

Software EngineerP3Medium to Hard

This interview process is for a Software Engineer role at LTI, specifically for the P3 level. It aims to assess a candidate's technical proficiency, problem-solving skills, and cultural fit within the organization.

Rounds·4

Timeline·~7d

Experience·4 - 7 yrs

Comp band·US$80000 - US$120000

Interview time·165 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency
  • Understanding of software design principles

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Brush up on object-oriented programming (OOP) concepts and design patterns.
  3. Understand core concepts of operating systems, databases, and networking.
  4. Practice coding problems regularly on platforms like LeetCode, HackerRank, or GeeksforGeeks.
  5. Prepare for system design questions, focusing on scalability, reliability, and trade-offs.
  6. Reflect on your past projects and be ready to discuss your contributions, challenges, and learnings.
  7. Research LTI's company culture, values, and recent achievements.
  8. Prepare answers to common behavioral questions using the STAR method (Situation, Task, Action, Result).

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (Arrays, Lists, Trees, Graphs, HashMaps, Sorting, Searching, DP basics).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), graphs, hash tables. Implement common algorithms like sorting (merge, quick), searching (binary), graph traversals (BFS, DFS), dynamic programming basics. Practice coding problems related to these topics.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Explain the difference between an abstract class and an interface.
  • How would you design a system to handle real-time notifications?
  • Tell me about a time you had to deal with technical debt.
  • What are the trade-offs between monolithic and microservices architectures?
  • Describe your experience with cloud platforms like AWS or Azure.
  • How do you approach performance optimization in your code?
  • What is a deadlock and how can it be prevented?
  • Tell me about a challenging bug you encountered and how you debugged it.
  • How do you stay updated with new technologies?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Bangalore

Interview focus

Strong emphasis on practical application of data structures and algorithms.Understanding of cloud-native technologies (AWS, Azure, GCP).Experience with CI/CD pipelines and DevOps practices.Behavioral questions focusing on teamwork and adaptability.

Common questions

  • Explain the difference between SQL and NoSQL databases.
  • Describe a challenging project you worked on and how you overcame obstacles.
  • How do you handle code reviews?
  • What are your thoughts on microservices architecture?
  • Tell me about a time you had to work with a difficult team member.

Tips

  • Be prepared to discuss specific cloud services you have used.
  • Have examples ready for situations where you demonstrated leadership or problem-solving.
  • Familiarize yourself with common interview questions for the specific tech stack used by the team.
  • Research LTI's recent projects and values.

Rounds

Round-by-round.

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

DSA

Coding questions at LTI.

Frequently reported on LTI loops

View all at LTI

Other guides

More at LTI.