Scale Engineer

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

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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

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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.

DSA

Coding questions at thoughtspot.

Frequently reported on thoughtspot loops

View all at thoughtspot

Other guides

More at thoughtspot.