Software Engineer

Software EngineerL2Medium

This interview process is designed to assess candidates for a Software Engineer (L2) position at Tekion. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$90000 - US$130000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving approach
  • Algorithmic thinking
  • Code quality and efficiency
  • Understanding of data structures

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 focusing on time and space complexity analysis.
  3. Study system design concepts like load balancing, caching, database sharding, message queues, and CAP theorem.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  5. Understand Tekion's products and values to align your answers.
  6. Be ready to discuss your resume in detail, highlighting relevant projects and achievements.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and implementation. Analyze complexity.

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), heaps, hash tables, graphs. Implement common algorithms like sorting (quicksort, mergesort), searching (binary search), dynamic programming, and graph traversal (BFS, DFS). Analyze time and space complexity for each.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a rate limiter.
  • How would you design a system to handle real-time stock price updates?
  • Tell me about a time you disagreed with a teammate. How did you handle it?
  • Explain the concept of polymorphism in object-oriented programming.
  • What are the differences between processes and threads?
  • How do you approach debugging a complex issue in a distributed system?
  • Describe a situation where you had to learn a new technology quickly. How did you do it?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

USA

Interview focus

Deep dive into specific technologies relevant to the team's stack (e.g., Java, Python, Go).Understanding of distributed systems and microservices architecture.Problem-solving in a cloud-native environment (AWS, GCP, Azure).

Common questions

  • How would you design a URL shortener service?
  • Explain the difference between SQL and NoSQL databases.
  • Describe a challenging technical problem you solved and how you approached it.

Tips

  • Be prepared to discuss your experience with cloud platforms.
  • Familiarize yourself with common microservices patterns.
  • Highlight projects where you demonstrated leadership or mentorship.

Rounds

Round-by-round.

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

Med

Technical Interview (DSA) · 45 min · Software Engineer (L3/L4)

This round focuses on your fundamental programming skills. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and your understanding of time and space complexity.

What they look for

Strong understanding of fundamental data structures and algorithms.Ability to translate a problem into a working code solution.Clear communication of thought process.

Evaluation

  • Correctness of the solution
  • Efficiency (time and space complexity)
  • Code readability and structure
  • Problem-solving approach

Sample questions

  • Reverse a linked list.

    Data StructuresLinked ListsAlgorithms
  • Find the kth smallest element in a binary search tree.

    Data StructuresTreesAlgorithms
  • Implement a function to check if a string is a palindrome.

    StringsAlgorithms

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
  2. 02Focus on understanding the underlying data structures and algorithms.
  3. 03Practice explaining your thought process out loud while solving problems.
  4. 04Pay attention to edge cases and constraints.

Common rejection reasons

  • ×Inability to solve basic coding problems.
  • ×Poor time or space complexity analysis.
  • ×Lack of clarity in explaining the solution.

DSA

Coding questions at Tekion.

Frequently reported on Tekion loops

Other guides

More at Tekion.