# Software Engineer
**Role:** Software Engineer · **Level:** L2
**Company:** [EPAM Systems](https://scaleengineer.com/companies/epam-systems)
**Difficulty:** Medium
**Salary:** US$80000 - US$120000
**Experience:** 2 - 5
**Timeline:** ~7 days
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.
Canonical: https://scaleengineer.com/interviews/epam-systems/l2-software-engineer
---
## Overall evaluation

- Technical Skills
- Problem Solving
- Communication & Collaboration
- Cultural Fit & Motivation

## Questions 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.

## Preparation tips

### lists

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

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"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).","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Practice implementations and complexity analysis."}
- {"title":"Object-Oriented Programming & Design Patterns","longDescription":"Week 3: Deep dive into Object-Oriented Programming (OOP) concepts (encapsulation, inheritance, polymorphism, abstraction) and common design patterns (e.g., Singleton, Factory, Observer, Strategy). Understand how to apply them in real-world scenarios.","shortDescription":"Week 3: OOP principles and Design Patterns. Focus on practical application."}
- {"title":"System Fundamentals & Technologies","longDescription":"Week 4: Review database concepts (SQL, NoSQL, normalization, indexing) and operating system fundamentals (processes, threads, memory management). If the role requires specific technologies (e.g., cloud platforms, specific frameworks), dedicate time to studying those.","shortDescription":"Week 4: Databases, Operating Systems, and role-specific technologies."}
- {"title":"Behavioral and Situational Preparation","longDescription":"Week 5: Prepare for behavioral and situational questions. Use the STAR method to structure your answers about past experiences, teamwork, problem-solving, and handling challenges. Research EPAM's values and culture.","shortDescription":"Week 5: Behavioral questions (STAR method) and company research."}
- {"title":"Mock Interviews & Final Review","longDescription":"Week 6: Mock interviews with peers or mentors. Practice explaining your thought process clearly and concisely. Refine your resume and prepare questions to ask the interviewer.","shortDescription":"Week 6: Mock interviews, refining communication, and preparing questions."}

## Location differences

- {"location":"Global","differences":{"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."],"interviewFocus":["Adaptability to local work culture","Communication skills in the local language","Understanding of local market trends"],"commonQuestions":["Tell me about a challenging project you worked on.","How do you handle tight deadlines?","Describe a time you disagreed with a team member."]}}
- {"location":"Eastern Europe","differences":{"tips":["Emphasize your ability to work effectively in a remote setting.","Be ready to share examples of successful cross-border project collaboration.","Showcase your understanding of asynchronous communication best practices."],"interviewFocus":["Experience with remote collaboration tools and strategies","Understanding of distributed team dynamics","Proficiency in English for international communication"],"commonQuestions":["What are your thoughts on the current tech landscape in Eastern Europe?","How do you approach collaboration with remote teams?","Describe your experience with Agile methodologies in a distributed environment."]}}
- {"location":"North America","differences":{"tips":["Brush up on cloud services and architecture patterns.","Prepare to discuss specific examples of scalable and resilient systems you've built.","Highlight your understanding of DevOps principles."],"interviewFocus":["Proficiency in cloud-native technologies (AWS, Azure, GCP)","Experience with modern software architectures","Problem-solving skills in a fast-paced environment"],"commonQuestions":["How do you stay updated with the latest advancements in cloud computing?","Describe your experience with microservices architecture.","What are your strategies for ensuring code quality and maintainability?"]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Coding challenge focusing on data structures and algorithms.
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.
**Interviewers 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 criteria:** Correctness of code; Efficiency of solution (time and space complexity); Clarity and structure of code; Problem-solving approach; Communication of thought 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.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to check if a binary tree is a Binary Search Tree (BST).
- Find the kth smallest element in an unsorted array.

## Preparation tips

- Practice coding problems regularly.
- Understand Big O notation.
- Be prepared to explain your code line by line.
- Think out loud during the problem-solving process.

## Round 2: Architecture & Scalability
**Type:** System Design Interview · **Difficulty:** Medium-Hard · **Duration:** 60 min
Design a scalable software system based on a given problem statement.
This round assesses your ability to design software systems. You'll be given a high-level problem (e.g., design a social media feed, a URL shortener) and expected to propose a solution. This involves discussing requirements, identifying components, defining APIs, considering scalability, reliability, and trade-offs.
**Interviewers look for:** Ability to design scalable, reliable, and maintainable systems.; Understanding of architectural patterns (e.g., microservices, RESTful APIs).; Knowledge of databases, caching, load balancing, and message queues.; Ability to identify and mitigate potential bottlenecks.; Sound reasoning for design decisions.
**Evaluation criteria:** System design approach; Scalability and performance considerations; Trade-off analysis; Understanding of distributed systems; Clarity of explanation
**Common rejection reasons:** Lack of understanding of system design principles.; Inability to handle scalability and performance considerations.; Poor trade-off analysis.; Difficulty in explaining design choices.
## Questions

- Design a system like Twitter's news feed.
- How would you design an API for a ride-sharing service?
- Design a distributed cache system.

## Preparation tips

- Study common system design patterns.
- Understand concepts like load balancing, caching, databases (SQL vs. NoSQL), message queues.
- Practice designing systems for scale.
- Be prepared to justify your design choices and discuss alternatives.

## Round 3: Managerial / Behavioral Round
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 30 min
Assesses soft skills, teamwork, and cultural fit through behavioral questions.
This round focuses on your behavioral and soft skills. You'll be asked questions about your past experiences, how you handle specific situations (e.g., conflicts, failures, successes), your motivations, and your career aspirations. The goal is to understand how you work, collaborate, and fit within the team and company culture.
**Interviewers look for:** How you handle challenges and conflicts.; Your ability to work in a team.; Your motivation for the role and EPAM.; Alignment with EPAM's values.; Self-awareness and ability to learn from experiences.
**Evaluation criteria:** Behavioral competencies; Teamwork and collaboration skills; Problem-solving approach in non-technical scenarios; Motivation and career goals; Cultural fit
**Common rejection reasons:** Poor communication or interpersonal skills.; Lack of enthusiasm or motivation.; Inability to provide specific examples of past behavior.; Mismatch with company culture or values.
## Questions

- Tell me about a time you had to work with a difficult colleague. How did you handle it?
- Describe a project you are particularly proud of and your role in it.
- How do you stay motivated when working on challenging tasks?

## Preparation tips

- Prepare examples using the STAR method.
- Be honest and authentic in your responses.
- Show enthusiasm for the role and company.
- Think about your strengths and weaknesses.
- Align your answers with EPAM's values.