Scale Engineer

Technology Analyst

Software EngineerJL4Medium

This interview process is for a Technology Analyst (JL4) role at Infosys, focusing on assessing candidates for their technical proficiency, problem-solving skills, and cultural fit within the organization. The process is designed to identify individuals who can contribute effectively to software development projects and grow within the company.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$60000 - US$85000

Interview time·135 min

Evaluation

What they measure.

  • Technical knowledge and application
  • Problem-solving abilities
  • Communication skills
  • Teamwork and collaboration
  • Adaptability and learning agility
  • Cultural fit and alignment with Infosys values

Preparation

How to prepare.

Tips

  1. Thoroughly review fundamental computer science concepts, including data structures, algorithms, and operating systems.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium-difficulty problems.
  3. Understand the Software Development Life Cycle (SDLC) and common methodologies like Agile and Waterfall.
  4. Prepare to discuss your past projects in detail, highlighting your role, challenges faced, and solutions implemented.
  5. Research Infosys' values, mission, and recent projects to demonstrate your interest and understanding of the company.
  6. Practice answering behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Be prepared to discuss your strengths and weaknesses, and how you handle pressure or failure.
  8. Stay updated on current technology trends and be ready to discuss your opinions on them.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Core Technical Concepts

Weeks 1-2: Data Structures & Algorithms. Practice coding.

Weeks 1-2: Focus on Data Structures (Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Hash Tables) and Algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice implementing these in your preferred programming language. Solve at least 10-15 problems per data structure/algorithm type.

Questions

Commonly asked.

  • Explain the difference between Abstract Class and Interface.
  • What is polymorphism? Provide an example.
  • 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 Git?
  • Tell me about a time you made a mistake at work and how you handled it.
  • What is the time complexity of binary search?
  • How do you ensure code quality?
  • What are your thoughts on microservices architecture?
  • Describe your experience with cloud platforms like AWS or Azure.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Bangalore

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 Infosys' presence and projects in this specific region.
  • Be prepared to discuss your experience with local technologies or frameworks if applicable.
  • Practice articulating your thoughts clearly and concisely.

Rounds

Round-by-round.

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

DSA

Coding questions at Infosys.

Frequently reported on Infosys loops

View all at Infosys

Other guides

More at Infosys.