Scale Engineer

Software Engineer

Software EngineerAssociate EngineerMedium

Commvault is seeking an Associate Software Engineer to join our dynamic team. This role involves contributing to the design, development, and maintenance of our cutting-edge data protection and information management solutions. You will work on challenging projects, collaborate with experienced engineers, and have opportunities for professional growth.

Rounds·3

Timeline·~14d

Experience·0 - 2 yrs

Comp band·US$60000 - US$75000

Interview time·150 min

Evaluation

What they measure.

  • Technical Proficiency: Ability to write clean, efficient, and maintainable code.
  • Problem-Solving Skills: Aptitude for analyzing problems and devising effective solutions.
  • Communication: Clarity in expressing technical concepts and ideas.
  • Teamwork & Collaboration: Ability to work effectively with others.
  • Learning Agility: Eagerness and capacity to learn new technologies and adapt to change.
  • Cultural Fit: Alignment with Commvault's values and work environment.

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, recursion).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on easy and medium difficulty.
  3. Understand Object-Oriented Programming (OOP) principles (encapsulation, inheritance, polymorphism, abstraction).
  4. Familiarize yourself with at least one popular programming language (e.g., Java, Python, C++) and its standard libraries.
  5. Learn about version control systems, particularly Git, and common commands.
  6. Understand basic software development lifecycle concepts.
  7. Prepare to discuss your resume, highlighting relevant projects and experiences.
  8. Research Commvault's products, services, and company culture.
  9. 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 Fundamentals

Weeks 1-2: Data Structures & Complexity Analysis. Practice implementations and Big O.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and their common operations. Practice implementing them and solving problems related to their usage. Understand time and space complexity (Big O notation).

Questions

Commonly asked.

  • Can you explain the difference between a process and a thread?
  • Describe a situation where you had to optimize code for performance.
  • What are the advantages of using a hash map?
  • How would you design a simple URL shortener?
  • Tell me about a time you received constructive criticism and how you acted on it.
  • What is polymorphism?
  • Explain the concept of recursion with an example.
  • How do you approach learning a new programming language?
  • Describe your experience with unit testing.
  • What are your career aspirations?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Foundational programming conceptsProblem-solving skillsBasic data structures and algorithmsEnthusiasm for learning and technology

Common questions

  • Tell me about a challenging project you worked on during your internship or academic projects.
  • How do you approach debugging a complex issue?
  • Describe your experience with version control systems like Git.
  • What are your favorite programming languages and why?
  • How do you stay updated with new technologies?

Tips

  • Brush up on core computer science fundamentals.
  • Be prepared to discuss your academic projects in detail.
  • Showcase your eagerness to learn and contribute.
  • Research Commvault's products and mission.

Rounds

Round-by-round.

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

DSA

Coding questions at Commvault.

Frequently reported on Commvault loops

View all at Commvault

Other guides

More at Commvault.