Scale Engineer

Software Engineer

Software EngineerL2Medium

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

Rounds·3

Timeline·~14d

Experience·2 - 5 yrs

Comp band·US$85000 - US$120000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Code quality and efficiency
  • System design capabilities

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Understand core computer science concepts (operating systems, databases, networking).
  4. Prepare for system design questions relevant to scalable applications.
  5. Research Amdocs' products, services, and company culture.
  6. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Practice explaining your thought process clearly and concisely.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice 2-3 problems daily.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, recursion). Practice implementing these in your preferred language. Solve at least 2-3 problems per day.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • Explain the difference between processes and threads.
  • Tell me about a time you disagreed with a team member. How did you resolve it?
  • How would you optimize a slow database query?
  • What are the principles of object-oriented programming?
  • Describe a challenging bug you encountered and how you debugged it.
  • How do you stay updated with new technologies?
  • Design a system to handle real-time notifications for a social media platform.
  • What is Big O notation and why is it important?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

North America

Interview focus

Emphasis on cloud-native architectures (e.g., microservices, Kubernetes).Deep dive into distributed systems concepts and practical implementation.Experience with CI/CD pipelines and DevOps practices.

Common questions

  • Describe a challenging project you worked on in a distributed systems environment.
  • How do you handle concurrency issues in your code?
  • Explain the trade-offs between different database technologies (SQL vs. NoSQL) for a large-scale application.

Tips

  • Familiarize yourself with cloud platforms like AWS, Azure, or GCP.
  • Be prepared to discuss your experience with containerization and orchestration.
  • Highlight any contributions to open-source projects related to distributed systems.

Rounds

Round-by-round.

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

Med

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

This round focuses on your core technical abilities. You will be asked to solve 1-2 coding problems on a shared online editor. The interviewer will assess your approach to problem-solving, your knowledge of data structures and algorithms, and your ability to write clean, efficient, and correct code. Be prepared to discuss time and space complexity.

What they look for

Strong problem-solving skills.Proficiency in a programming language.Understanding of data structures and algorithms.Ability to think critically and communicate effectively.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Clarity and organization of the code
  • Ability to explain the approach and trade-offs

Sample questions

  • Reverse a linked list.

    Data StructuresLinked ListsAlgorithms

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

    Data StructuresTreesBinary Search TreesAlgorithms

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

    StringsAlgorithms

Prep for this round

  1. 01Practice coding problems regularly.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Think out loud and explain your thought process.
  4. 04Ask clarifying questions if the problem statement is unclear.
  5. 05Test your code with various edge cases.

Common rejection reasons

  • ×Inability to articulate thought process.
  • ×Poor understanding of fundamental data structures.
  • ×Inefficient or incorrect algorithmic solutions.
  • ×Lack of attention to edge cases.

DSA

Coding questions at Amdocs.

Frequently reported on Amdocs loops

View all at Amdocs

Other guides

More at Amdocs.