How to Get Placed in Top IT Companies: 2026 Roadmap

Top IT companies in India sort freshers into three tiers before the first aptitude test runs, and the tier determines which selection process you face.

Knowing the tier structure before you decide what to target is the first honest step. Applying to Google when your college does not get Tier-1 drives is a different preparation problem than optimising for TCS Digital. Both goals are achievable, but they require different timelines and different skill emphasis.

Know the Tiers Before You Target

“Top IT company” covers a wide range. For practical placement prep, three tiers matter:

Tier	Companies	Typical starting CTC
Tier-1 product	Google, Microsoft, Adobe, Salesforce	20–45 LPA
Tier-2 services with product track	TCS Digital, Infosys Power Programmer, Wipro Turbo Elite	7–12 LPA
Tier-3 mainstream services	TCS Ninja, Infosys (standard), Cognizant Gen C, Capgemini	3.5–6.5 LPA

Tier-1 product companies hire in small numbers from select campuses. The online assessment typically includes two or three DSA problems and a system design discussion. Very few colleges outside the IITs, NITs, and a handful of private institutions get direct Tier-1 campus drives.

Tier-2 programmes are a practical target for students at Tier-2 and Tier-3 colleges who want above-average pay within a large services employer. TCS Digital runs a harder OA than the standard NQT. Infosys Power Programmer has its own separate assessment track. Both are documented on their official portals with eligibility criteria.

Tier-3 is the broadest entry point. Mass IT services employers hire in the tens of thousands annually. The DSA bar is minimal, and the focus shifts to aptitude and communication.

Eligibility Benchmarks by Tier

The table below captures the standard eligibility criteria across tiers. Specific drives may vary; your college placement cell will have the current-year cutoffs.

Requirement	Tier-1 product	Tier-2 services-product track	Tier-3 mainstream services
Minimum CGPA (10-point scale)	7.5–8.0+	7.0	6.0–7.0
Class 10 and Class 12 aggregate	70 percent or above	60 percent throughout	60 percent throughout
Active backlogs	Not allowed (active or historical)	Not allowed (active)	Not allowed (active)
Branch eligibility	CSE and IT at most campuses	CSE, IT, ECE, EEE	CSE, IT, ECE, EEE, Mech, Civil (varies)

The 60 percent throughout rule is a shared floor across most IT services companies. Students with a CGPA above 7.0 and no active backlogs satisfy the entry-level filter for Tier-2 and Tier-3.

For companies like Cisco, which run a separate, more technical OA emphasising networking and DSA, the Cisco placement papers guide covers the full selection process in detail.

The Skill Stack That Gets Shortlisted

Clearing the eligibility filter puts your application in the pool. The skill stack below is what moves you through the rest.

Data Structures and Algorithms

DSA is the common denominator from Tier-2 upward. Core topics for Tier-2 interviews:

• Arrays, strings, linked lists, stacks, and queues
• Binary search, sorting algorithms, and their time and space complexity
• Trees (BST, traversals), graphs (BFS, DFS)
• Dynamic programming at an introductory level for Tier-2; deeper for Tier-1

For Tier-3 mainstream services, the bar is basic: write a working function, handle edge cases, and explain your approach clearly.

Core Computer Science Subjects

Services-with-product-track tests and product company interviews both draw on these subjects:

• Operating systems: process scheduling, memory management, deadlock conditions
• DBMS: SQL queries, normalisation to 3NF, transactions, indexing
• Computer networks: OSI model, TCP/IP, DNS, basic subnetting

The Texas Instruments placement papers guide is a useful depth reference: TI’s OA tests OS, networks, and circuit fundamentals at a level that sharpens core CS recall across multiple subjects simultaneously.

System Design at Fresher Level

Tier-1 product company interviews ask about system design even for fresher roles. The expected level is not production-scale architecture. Interviewers ask: “how would you design a URL shortener?” or “what data structure would you use for a leaderboard, and why?” Practise thinking through trade-offs out loud rather than just giving an answer.

One Strong Build Project

One well-built project you can explain end-to-end beats five half-finished repositories. Recruiters check three things: what problem does it solve, what technical decisions did you make, and what would you change with more time. Host it on a public GitHub with a README that explains the project clearly.

Communication

Communication is tested across every stage: the online assessment’s verbal component, the group discussion round (where applicable), and every interview. Practise explaining technical concepts to someone outside your field. For GD rounds, practise initiating and summarising discussions rather than dominating them.

A Realistic Preparation Timeline

Starting in the Third Year (12 months out)

• Months 1–3: Complete a structured DSA course. Solve 2 to 3 problems daily, focusing on easy and medium difficulty. Build the habit before adding volume.
• Months 4–6: Add core CS subjects — one chapter per subject per week across OS, DBMS, and Networks. Run mock aptitude tests fortnightly.
• Months 7–9: Build your main project. Document it well. Run peer mock interviews at least once a month.
• Months 10–12: Full-length timed mock tests, company-specific OA practice, and group discussion rehearsal.

Starting Pre-Final Year (6 months out)

A 6-month start works if you commit to 2 to 3 hours daily. Compress the DSA and core CS foundation into the first 3 months, then shift entirely to mock tests and project polish.

Final 3 Months Before Campus Season

• Revisit weak topics identified in mock test analysis
• Read recent news and annual reports for companies you are targeting
• Prepare standard HR question answers and a 3-minute project walkthrough
• Confirm eligibility documents: transcripts, no-backlogs certificate, ID proof

How Placements Actually Reach Students

Campus Drives

The primary channel for most engineering students. Tier-2 and Tier-3 companies visit campuses between August and February each year. Infosys’s campus programme runs pre-drive online assessments through their InfyTQ platform for some hiring tracks before the campus visit.

Off-Campus Drives

Students who miss the campus window, or whose college does not host the target company, can apply through off-campus portals. Most large IT companies run off-campus hiring rounds throughout the year. The same OA and interview rounds apply as they do for campus candidates.

The HirePro platform is used by several IT companies for off-campus assessments. Familiarity with the platform interface (its navigation, timer display, and code-submission workflow) saves time during the actual test.

Employee Referral Programmes

Several IT services companies run structured referral campaigns where current employees can nominate candidates. A referral does not skip any selection round, but it can ensure your application reaches the recruiter rather than sitting in a cold applicant pool. Alumni from your college who work at your target company are a natural starting point.

Networking and LinkedIn

LinkedIn outreach to alumni from your college working at a target company often surfaces drive dates before they are publicly advertised. One message explaining your profile and asking for advice is appropriate. Repeated follow-ups are not.

AI Skills and the 2026 Placement Window

AI skills are changing what product-tier interviews test, and more recently, what Tier-2 services-product-track programmes value. In FY26, 60 percent of TCS’s fresher hires were AI-skilled, per TCS CHRO Sudeep Kunnumal at the AI Impact Summit in March 2026.

This does not mean every campus drive now tests LLMs. The standard aptitude-plus-coding format is still the entry gate. But a student who can show one deployed, working AI project in their portfolio stands out at the project discussion stage, across all three tiers.

That connects directly to the “one strong build project” point in the skill stack above. Building an AI project does not require a year of ML theory. TinkerLLM lets you ship a working LLM-based tool in a weekend, at ₹299 for the starter plan. That is the kind of project that makes a final-year portfolio look different from ten thousand identical repository lists; that is what the Tier-2 project discussion is increasingly expecting to see.