Required Skills & Tech Stack
Java
Python
JavaScript
SQL
Data Structures & Algorithms
Object-Oriented Programming
Git
Problem Solving
Teamwork
📚 Free Study Materials (4)
📖
Aptitude and Logical Reasoning Practice
Open Resource ↗
Helps sharpen problem‑solving skills essential for coding interviews and technical assessments.
📖
Technical Interview Preparation
Open Resource ↗
Provides practice on coding challenges, data structures, and system design questions relevant to software engineering roles.
📖
Company‑Specific Interview Insights
Open Resource ↗
Offers insights into JLL’s interview patterns, sample questions, and tips for success.
📖
Coding Practice Platform
Open Resource ↗
Allows hands‑on practice with a wide range of algorithmic problems to improve coding proficiency.
Eligibility Criteria
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field. Minimum 60% in aggregate (or equivalent CGPA). Eligible batches: 2025, 2026, 2027. No backlogs allowed. Candidates must have strong fundamentals in programming, data structures, algorithms, and object‑oriented design.
Selection & Interview Process
1
Round 1: Technical interview (coding & data structures)
2
Round 2: Technical interview (system design & problem solving)
3
Round 3: HR interview (cultural fit & behavioral questions)
Job Description & Key Responsibilities
JLL (Jones Lang LaSalle) is a leading global real‑estate services firm that helps clients around the world unlock the value of their real‑estate assets. With a presence in over 80 countries and a workforce of more than 50,000 professionals, JLL blends industry expertise with cutting‑edge technology to deliver innovative solutions in leasing, property management, advisory, and investment management.
The Software Engineer I role is designed for fresh graduates who are eager to build a career in software development within a dynamic, global organization. Based in Bengaluru, the role offers exposure to large‑scale, cloud‑native applications that power JLL’s real‑estate platforms. Engineers work in cross‑functional teams that include product managers, designers, data scientists, and senior architects, ensuring a holistic product development experience.
Key responsibilities include:
1. Designing, coding, and testing high‑quality, maintainable software components.
2. Collaborating with product owners to translate business requirements into technical specifications.
3. Participating in code reviews, pair programming, and knowledge sharing sessions.
4. Writing unit, integration, and performance tests to ensure robust delivery.
5. Debugging and troubleshooting production issues with a focus on root cause analysis.
6. Contributing to continuous integration/continuous deployment (CI/CD) pipelines.
7. Maintaining documentation for code, APIs, and design decisions.
8. Staying updated with emerging technologies and industry best practices.
9. Mentoring junior teammates and interns.
10. Adhering to JLL’s coding standards, security guidelines, and compliance requirements.
Tech stack: Java (Spring Boot), Python, JavaScript (React/Node.js), SQL (PostgreSQL/MySQL), Docker, Kubernetes, Git, and cloud platforms such as AWS or Azure.
Growth path: Engineers typically progress from Software Engineer I to II, then to Senior Engineer, Technical Lead, and eventually into managerial or specialized architect roles, depending on performance and interests.
Why join JLL? You’ll work on real‑world problems that impact millions of users, benefit from a culture that values innovation, diversity, and continuous learning, and receive competitive compensation and benefits. The company’s global footprint offers opportunities for international exposure and career mobility.
Overall, the Software Engineer I role at JLL provides a solid foundation for a rewarding career in technology, backed by a supportive environment and a clear roadmap for advancement.
Preparation Hub
JLL — 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
🎯
JLL Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for JLL 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 (Java, Python, JavaScript, SQL, Data Structures & Algorithms, Object-Oriented Programming, Git, Problem Solving, Teamwork) & 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
JLL 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 JLL as a Software Engineer I?
Preparation Tip: Highlight JLL's market reputation, recent tech innovations, and how your skills in Java 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.
