Software Engineer

Software EngineerL2Medium

This interview process is for a Software Engineer (L2) role at Zeta. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$90000 - US$120000

Interview time·150 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study common system design patterns and principles.
  4. Prepare examples for behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research Zeta's products, services, and company culture.
  6. Understand the specific technologies mentioned in the job description.
  7. Practice explaining your thought process clearly and concisely.

Study plan

Fig · Study plan — 03 phases

01 / 03
01

Phase 01 of 03

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice problems.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice problems related to these topics.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Design a URL shortening service.
  • How would you design a system like Twitter's feed?
  • Tell me about a time you faced a conflict with a teammate and how you resolved it.
  • Describe a challenging technical problem you solved and your approach.
  • What are your strengths and weaknesses?
  • Why are you interested in Zeta?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

India (Bangalore, Hyderabad)

Interview focus

Adaptability to local market trends and client needs.Collaboration with distributed teams across India.Understanding of specific technologies prevalent in the Indian tech landscape.

Common questions

  • Tell me about a challenging project you worked on in Bangalore.
  • How do you handle tight deadlines in a fast-paced environment like Hyderabad?
  • Describe your experience with cloud technologies relevant to our India operations.

Tips

  • Research common tech stacks used by companies in Bangalore.
  • Be prepared to discuss your experience with Agile methodologies in a distributed team setting.
  • Highlight any experience with local regulations or compliance if applicable.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Software Engineer

This round focuses on assessing your core programming skills. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will evaluate your approach, the efficiency of your solution, and the clarity of your code. Expect to explain your thought process throughout the problem-solving session.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into a working code solution.Clear explanation of the thought process.Consideration of edge cases and constraints.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (Time and Space Complexity)
  • Code readability and maintainability
  • Problem-solving approach and thought process

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion
  • Implement a function to find the kth smallest element in an unsorted array.

    AlgorithmsSortingQuickselect

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode (Easy/Medium difficulty).
  2. 02Be comfortable explaining your code and analyzing its time and space complexity.
  3. 03Practice thinking out loud while solving problems.

Common rejection reasons

  • ×Inability to solve basic algorithmic problems.
  • ×Poor understanding of time and space complexity.
  • ×Messy or inefficient code.
  • ×Lack of clear communication during problem-solving.

DSA

Coding questions at Zeta.

Frequently reported on Zeta loops

Other guides

More at Zeta.