Software Engineer

Software EngineerMTS 2Medium to Hard

The interview process for a Software Engineer (MTS 2) at ThoughtSpot is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit. It typically involves multiple rounds, starting with an initial screening and progressing to more in-depth technical and behavioral assessments.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$110000 - US$150000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Coding proficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Adaptability and learning agility
  • Cultural fit with ThoughtSpot's values

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. Practice coding problems on platforms like LeetCode, HackerRank, or similar.
  3. Understand core computer science concepts like operating systems, databases, and networking.
  4. Brush up on system design principles, including scalability, reliability, and trade-offs.
  5. Prepare for behavioral questions by reflecting on your past experiences using the STAR method (Situation, Task, Action, Result).
  6. Research ThoughtSpot's products, mission, and values to understand how your skills and experience align.
  7. 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

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

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), graphs, and hash tables. Implement common algorithms like sorting (quicksort, mergesort), searching (binary search), and graph traversal (BFS, DFS). Practice problems related to these topics.

Questions

Commonly asked.

  • Tell me about a time you had to deal with ambiguity in a project.
  • How would you design a URL shortening service?
  • What are the trade-offs between SQL and NoSQL databases?
  • Describe a situation where you disagreed with a technical decision made by your team.
  • Write a function to find the kth largest element in an unsorted array.
  • How do you ensure the scalability and performance of your code?
  • What are your thoughts on microservices vs. monolithic architecture?
  • Explain the concept of CAP theorem.
  • 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

Remote

Interview focus

Emphasis on practical application of data structures and algorithms.Deeper dive into system design principles relevant to cloud-native applications.Behavioral questions may focus on collaboration in a remote or hybrid environment.

Common questions

  • Discuss a challenging technical problem you solved in your previous role.
  • How do you approach debugging a complex issue?
  • Describe your experience with cloud platforms (AWS, Azure, GCP).
  • What are your thoughts on microservices architecture?
  • Tell me about a time you had to work with a difficult stakeholder.

Tips

  • Be prepared to discuss your contributions to open-source projects if applicable.
  • Familiarize yourself with common cloud services and their use cases.
  • Practice explaining your thought process clearly, especially for remote interviews.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer / Senior Software Engineer

This round focuses on assessing your core programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach, the correctness of your solution, and the efficiency of your code. Expect to write code on a shared editor or whiteboard and explain your thought process throughout.

What they look for

A systematic approach to problem-solving.Ability to write clean, efficient, and correct code.Understanding of time and space complexity.Clear communication of thought process.

Evaluation

  • Problem-solving approach
  • Correctness of the solution
  • Code quality and efficiency
  • Understanding of data structures and algorithms

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

    Linked ListPointers
  • Find the first non-repeating character in a string.

    StringHash Map

Prep for this round

  1. 01Practice coding problems focusing on common data structures and algorithms.
  2. 02Be prepared to explain your approach and justify your choices.
  3. 03Think about edge cases and test your solution thoroughly.
  4. 04Practice writing code cleanly and efficiently.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Code with significant bugs or logical errors.
  • ×Lack of clarity in communication.

DSA

Coding questions at thoughtspot.

Frequently reported on thoughtspot loops

Other guides

More at thoughtspot.