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What’s Hot in the Placement Market
High-Demand Roles
AI/ML Engineers (₹30-60 LPA)
Cloud Architects (₹25-50 LPA)
Full-Stack Developers (₹15-35 LPA)
Cybersecurity Specialists (₹20-45 LPA)
DevOps Engineers (₹18-40 LPA)
Growing Sectors
FinTech (Paytm, Razorpay, PhonePe)
E-commerce (Flipkart, Amazon)
EdTech (BYJU’S, Unacademy)
HealthTech & FoodTech (Zomato, Swiggy)
SaaS Companies (Zoho, Freshworks)
Skills in Demand
Data Structures & Algorithms
System Design
Cloud Computing (AWS/Azure/GCP)
AI/ML Fundamentals
Problem-Solving Skills
Work Models
Hybrid Work (60% companies)
Remote Opportunities (25% companies)
On-site Roles (15% companies)
Flexible Schedules (growing trend)
2025 Salary Landscape for Freshers
Understanding salary trends helps you negotiate better and set realistic expectations:
FAANG & Global Tech Companies:
Google : ₹30-50 LPA (varies by role and location)
Amazon : ₹25-45 LPA (with stock options)
Microsoft : ₹28-48 LPA (comprehensive benefits)
Meta : ₹30-55 LPA (high compensation packages)
Apple : ₹28-50 LPA (premium packages)
Indian Product Companies:
Service-Based Companies:
TCS : ₹3.5-7 LPA (with training)
Infosys : ₹3.6-7.5 LPA (comprehensive benefits)
Wipro : ₹3.5-8 LPA (skill-based packages)
Accenture : ₹4-9 LPA (performance-based)
Factors Affecting Salary:
Technical skills and coding proficiency
Problem-solving abilities
Communication and soft skills
Internship and project experience
Location (metro cities offer higher packages)
Company type and growth stage
FAANG Companies:
Increased focus on system design for senior roles
Emphasis on AI/ML knowledge even for general SDE roles
More virtual interview rounds
Coding assessments becoming more challenging
Indian Product Companies:
Rapid hiring in growth phase
Focus on practical problem-solving
Preference for candidates with startup mindset
Competitive packages to attract talent
Service-Based Companies:
Mass hiring continues (TCS, Infosys, Wipro)
Focus on trainable candidates
Multiple opportunities for freshers
Good learning and growth opportunities
1. AI-Assisted Interviews
Practice clear verbal communication
Explain your thought process step-by-step
Write clean, readable code
Test your video/audio setup beforehand
2. System Design Focus
Study scalable system architectures
Practice designing distributed systems
Understand trade-offs (consistency, availability, partition tolerance)
Review real-world system designs (Netflix, Uber, Amazon)
3. Behavioral Interviews
Prepare STAR method stories (Situation, Task, Action, Result)
Research company values and culture
Practice common behavioral questions
Show leadership and teamwork examples
4. Technical Deep Dives
Be ready to explain any project in detail
Understand the “why” behind your technical choices
Prepare for questions on scalability and optimization
Review fundamentals (OS, DBMS, Networks, OOPs)
Placement Papers : Practice with Google placement papers , Amazon placement papers , Microsoft placement papers , and 50+ other companies
Coding Practice : LeetCode, HackerRank, CodeChef, Codeforces
System Design : Complete System Design Interview Guide 2025 , System Design Primer, High Scalability blog, Designing Data-Intensive Applications
Mock Interviews : Pramp, InterviewBit, LeetCode Mock Interviews
1. Projects That Stand Out
Build real-world applications, not just tutorials
Deploy projects (GitHub, live demos)
Solve actual problems, not just showcase skills
Document your projects well
2. Competitive Programming
Regular practice on coding platforms
Participate in contests (CodeChef, Codeforces)
Build problem-solving muscle memory
Track your progress and improvement
3. Open Source Contributions
Contribute to relevant projects
Show collaboration and code review skills
Build your GitHub profile
Network with developers
4. Internships & Experience
Apply for internships early
Gain practical industry experience
Learn from real-world projects
Build professional network
Recommended Timeline (3-4 months before placements):
Month 1 : Strengthen fundamentals (DSA, core CS subjects)
Month 2 : Practice placement papers and coding problems
Month 3 : Company-specific preparation and mock interviews
Month 4 : Final revision and confidence building
Daily Schedule:
2-3 hours: Coding practice (DSA problems)
1 hour: Placement paper practice
1 hour: Technical concepts review
30 minutes: Behavioral interview prep
30 minutes: Stay updated with industry news
Practice with placement papers from top companies:
FAANG Companies
Indian Product
Service-Based
View All
Technical Skills (Must-Have):
Strong problem-solving abilities
Proficiency in at least one programming language
Understanding of data structures and algorithms
Basic system design knowledge
Database and SQL fundamentals
Soft Skills (Highly Valued):
Clear communication
Team collaboration
Adaptability and learning agility
Time management
Professional attitude
Differentiators:
Real-world project experience
Internship experience
Competitive programming achievements
Open source contributions
Certifications (AWS, Azure, etc.)
Neglecting Fundamentals : Don’t skip DSA basics for advanced topics
Poor Time Management : Practice time-bound tests regularly
Weak Communication : Practice explaining solutions clearly
Inadequate Research : Research companies before interviews
No Mock Practice : Take mock interviews seriously
Ignoring Behavioral Prep : Prepare STAR method stories
Last-Minute Preparation : Start early, be consistent
FAANG & Product Companies:
Focus: Problem-solving, algorithms, system design
Process: Multiple technical rounds, system design, behavioral
Preparation: Heavy DSA practice, system design study
Examples: Google , Amazon , Microsoft
Service-Based Companies:
Focus: Fundamentals, aptitude, basic programming
Process: Aptitude test, technical interview, HR round
Preparation: Aptitude practice, core CS subjects
Examples: TCS , Infosys , Wipro
Investment Banks:
Focus: Quantitative aptitude, logical reasoning, domain knowledge
Process: Aptitude-heavy, technical assessment, case studies
Preparation: Strong aptitude, finance basics
Examples: Goldman Sachs , JP Morgan
Regular Updates
This blog is updated regularly with the latest placement trends, company hiring updates, AI news in hiring, salary insights, and expert tips. Check back frequently for new content!
What to Expect:
Weekly updates on job market trends
Monthly salary and compensation insights
Company-specific hiring news
AI and technology impact on hiring
Interview tips and preparation strategies
Success stories and case studies
How often is this blog updated? We update the blog regularly with the latest placement trends, job market insights, AI news in hiring, and preparation tips. Check back weekly for fresh content and monthly for comprehensive trend analysis.
Can I request specific topics for the blog? While we plan content based on current trends and user needs, we welcome suggestions. Focus areas include job trends, AI in hiring, interview tips, salary insights, and company-specific updates.
How does this blog help with placement preparation? This blog provides: Latest job market trends to understand demand, AI impact insights to adapt interview strategies, Salary trends for realistic expectations, Company-specific updates for targeted preparation, Expert tips and strategies for effective preparation, and Links to relevant placement papers for practice.
Are the salary figures accurate? Salary figures are based on industry reports, company disclosures, and market research for 2025. Actual salaries vary based on skills, location, company, role, and negotiation. Use these as reference ranges, not absolute figures.
How do I use this blog with placement papers? Combine blog insights with placement paper practice: Use trend insights to prioritize companies, Apply interview tips during preparation, Reference salary trends for expectations, Stay updated on hiring patterns, and Practice with relevant placement papers based on blog recommendations.
Ready to ace your placements? Combine the insights from this blog with hands-on practice using our comprehensive collection of placement papers from 50+ top companies .
Last updated: November 2025