Required Skills & Tech Stack
Boot
Backend Development
Java Development
Spring Boot
SQL
Bootstrap
Microservices
Java
📚 Free Study Materials (4)
📖
Aptitude Practice Questions & Mock Tests
Open Resource ↗
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
🎯
Company-Specific Interview Preparation Corner
Open Resource ↗
Detailed interview experiences, exam formats, and previous test questions for Infosys and tech roles.
📝
Technical Placement Cheat Sheets & Question Bank
Open Resource ↗
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
💻
Algorithm, DSA & Live Code Debugger Practice
Open Resource ↗
Hands-on problem sets to improve coding speed and step-by-step memory debugging.
Eligibility Criteria
Experience: 3-5 Yrs. Open to matching qualifications.
Selection & Interview Process
1
Online Assessment / Technical Interview Rounds / HR Review
Job Description & Key Responsibilities
Job Description Java Developer (3 to 5 Years Experience) Position: Java Developer Experience: 3 to 5 Years Employment Type: Full-Time Job Summary We are looking for a skilled Java Developer with 3 to 5 years of experience in designing, developing, and maintaining scalable enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Microservices, and REST APIs, along with experience in database management and cloud-based environments. Key Responsibilities Design, develop, test, and deploy Java-based applications. Develop RESTful APIs and Microservices using Spring Boot. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, scalable, and maintainable code following coding standards. Perform code reviews, debugging, and performance optimization. Integrate applications with databases and third-party services. Participate in Agile/Scrum development activities. Troubleshoot production issues and provide timely resolutions. Required Skills Strong programming experience in Java 8/11/17 . Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA . Experience in Microservices Architecture . Knowledge of REST APIs and web services. Experience with SQL databases such as Oracle, MySQL, or PostgreSQL. Familiarity with Hibernate/JPA . Experience with Git, Maven, Jenkins . Understanding of Design Patterns, OOP Concepts, and Data Structures . Good problem-solving and analytical skills. Preferred Skills Experience with AWS, Azure, or GCP . Knowledge of Docker, Kubernetes . Exposure to Kafka/RabbitMQ messaging systems. Experience with CI/CD pipelines. Understanding of Security and Authentication mechanisms (OAuth2, JWT). Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Preparation Hub
Infosys — Data Analytics & SQL Interview Guide
Previously asked questions, exam syllabus, coding benchmarks & round strategy.
📖 Previously Asked Questions & Preparation Links
APTITUDE & LOGIC
📖
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
Open Resource ↗
COMPANY GUIDE
🎯
Infosys Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Infosys and off-campus tech roles.
Open Resource ↗
MOCK TESTS & PAPERS
📝
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
Open Resource ↗
CODING PRACTICE
💻
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Open Resource ↗
💻 Previously Asked Coding Challenges
Easy / Medium
⚡ Live Debugger
Two Sum & Two Pointers Array Optimization
Asked in 85% tech rounds
Medium
⚡ Live Debugger
Reverse Linked List & Detect Cycle (Floyd's Algorithm)
Frequently asked in core rounds
Medium
⚡ Live Debugger
SQL Nth Highest Salary with DENSE_RANK() & Subqueries
Top standard database question
Easy / Medium
⚡ Live Debugger
Valid Parentheses & Stack Implementation
Standard online assessment problem
🗺️ Round-Wise Strategy
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Boot, Backend Development, Java Development, Spring Boot, SQL, Bootstrap, Microservices, Java) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Infosys Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
❓ Core Technical Questions & Answers
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
🤝 Behavioral & HR Questions (STAR Method)
Why do you want to join Infosys as a Java Developer?
Preparation Tip: Highlight Infosys's market reputation, recent tech innovations, and how your skills in Boot directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
