Software Engineer

Software EngineerL2Medium

This interview process is designed to assess candidates for a Software Engineer position at EPAM Systems at the L2 level. It evaluates technical skills, problem-solving abilities, and cultural fit.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$80000 - US$120000

Interview time·135 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and frameworks.
  • Problem-solving and analytical skills.
  • Ability to design and implement efficient algorithms.
  • Understanding of data structures and their applications.
  • Knowledge of software development best practices (e.g., SOLID principles, design patterns).

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or Codewars.
  3. Understand object-oriented programming (OOP) principles and design patterns.
  4. Familiarize yourself with the technologies and tools mentioned in the job description.
  5. Prepare to discuss your past projects in detail, focusing on your contributions and challenges.
  6. Research EPAM Systems: its mission, values, recent projects, and company culture.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  8. Prepare thoughtful questions to ask the interviewer about the role, team, and company.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language. Understand time and space complexity (Big O notation).

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • How would you design a URL shortening service?
  • What are the advantages of using microservices?
  • Tell me about a time you failed and what you learned from it.
  • How do you ensure the quality of your code?
  • What is polymorphism?
  • How do you handle merge conflicts in Git?
  • Describe your experience with automated testing.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Global

Interview focus

Adaptability to local work cultureCommunication skills in the local languageUnderstanding of local market trends

Common questions

  • Tell me about a challenging project you worked on.
  • How do you handle tight deadlines?
  • Describe a time you disagreed with a team member.

Tips

  • Research common business practices in this region.
  • Be prepared to discuss your experience with local technologies or frameworks.
  • Highlight any experience working in diverse, multicultural teams.

Rounds

Round-by-round.

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

Med

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

This round focuses on your core technical skills. You will be asked to solve coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to analyze problems, devise solutions, write code, and explain your reasoning. Expect questions that test your understanding of time and space complexity.

What they look for

Strong grasp of data structures and algorithms.Ability to write clean, efficient, and maintainable code.Logical thinking and systematic problem-solving.Clear communication of technical ideas.

Evaluation

  • Correctness of code
  • Efficiency of solution (time and space complexity)
  • Clarity and structure of code
  • Problem-solving approach
  • Communication of thought process

Sample questions

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

    ArrayDynamic ProgrammingAlgorithm
  • Implement a function to check if a binary tree is a Binary Search Tree (BST).

    TreeRecursionAlgorithm
  • Find the kth smallest element in an unsorted array.

    ArraySortingAlgorithm

Prep for this round

  1. 01Practice coding problems regularly.
  2. 02Understand Big O notation.
  3. 03Be prepared to explain your code line by line.
  4. 04Think out loud during the problem-solving process.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Incorrect or inefficient solutions to coding problems.
  • ×Lack of understanding of fundamental data structures and algorithms.
  • ×Poor communication skills.

DSA

Coding questions at EPAM Systems.

Frequently reported on EPAM Systems loops

Other guides

More at EPAM Systems.