Want a ₹10 LPA Job After College? Start With These Steps

A company does not offer a higher salary simply because a candidate has completed more courses. It pays for the responsibilities and capabilities associated with a role.

For example, a software development engineer may be expected to write efficient code, understand data structures, debug applications and work with databases. An AI engineer may need to understand model behaviour, data preparation, evaluation and deployment. A cloud engineer may be expected to work with infrastructure, automation, networking and reliability.

These are different jobs. Preparing for all of them simultaneously can leave you with shallow knowledge.

Start by choosing one primary career direction.

Do not choose a role only because its salary sounds attractive. Look at entry-level job descriptions and identify the skills employers repeatedly request. Compare those requirements with what you enjoy learning and can practise consistently.

Understand the ₹10 LPA figure, too

In India, CTC is not the same as monthly take-home salary. A ₹10 LPA offer may include fixed pay, variable compensation, joining bonuses, employer contributions or stock-related components.

For example, a company may advertise a ₹10 LPA package with a relatively high variable component, while another may offer a larger fixed salary. These offers are not financially identical.

Before accepting an offer, check:

• Annual fixed compensation
• Variable-pay conditions
• Monthly in-hand estimate
• Joining or retention bonus conditions
• Stock vesting, if applicable
• Probation, notice period and repayment clauses

Also, remember that ₹10 LPA is a competitive fresher target, not the standard salary for every graduate. Your preparation should improve your opportunities, not make you dismiss a relevant first role simply because it falls below one number.

Programming principles and DSA are crucial for many software engineering positions. However, a student who answers coding questions but is unable to construct or describe an application could find it difficult to participate in project discussions and real-world technical interviews.

A balanced preparation plan has three layers.

Layer 1: Problem-solving fundamentals

Choose one language—Python, Java or C++—and learn it well. Understand arrays, strings, hash maps, stacks, queues, trees, graphs, recursion, sorting and searching.

Do not chase a large problem count. Solve problems, analyse their complexity, revisit difficult ones and explain your approach without looking at the solution.

Layer 2: Core computer science

Prioritise OOP, DBMS, SQL, operating systems and computer networks. For example, a candidate building a web application should understand what happens when a user sends an HTTP request, how the backend interacts with a database and why authentication and validation matter.

These concepts help you explain the systems you build, not just answer textbook questions.

Layer 3: Role-specific engineering

This is where your preparation becomes more focused.

A full-stack developer should understand frontend-backend integration, API design, authentication, database operations and deployment. An AI/ML aspirant should understand the difference between training and inference, how to evaluate a model and why a model can perform poorly on unseen data. A data engineering aspirant should know how data is collected, transformed, validated and stored.

The goal is not to learn every tool in the market. It is to understand a useful set of tools well enough to build something with them.

Build one project that can withstand technical questions

Instead of creating five tutorial-based projects, build one substantial project that solves a defined problem.

For example, a student could create a document search application that allows users to upload public documents, retrieve relevant passages and ask questions about them. A meaningful version should handle unsupported questions, show where answers came from and make its limitations clear.

A project like this can demonstrate several skills:

• Backend development and API integration
• Document processing and data storage
• Retrieval and search logic
• User interface development
• Testing and error handling
• Deployment and documentation

Keep the GitHub repository readable. Include a README, setup instructions, screenshots, architecture notes and a clear explanation of your contribution.

Most importantly, be ready to explain why you chose the technology stack, what failed during development, how you tested the application and what you would improve next.

A project becomes valuable when it gives an interviewer a reason to ask you technical questions, and you can answer them.

This is where students can make a meaningful difference to their opportunity pool. If your college does not attract many high-paying recruiters, relying only on placement-cell announcements limits your options.

These routes do not guarantee a job or a ₹10 LPA offer. They can, however, help you gain experience, demonstrate your ability or access hiring processes you might otherwise miss.

Route 1: Contribute to open-source projects

Open source is not limited to experienced developers. Students can begin by understanding an existing project, setting up the development environment, reproducing an issue, improving documentation or fixing a manageable bug.

A useful starting point is Google Summer of Code (GSoC). It connects accepted contributors with open-source organisations and mentors for a substantial programming project. The programme is open to eligible students and beginners in open source, subject to its rules.

GSoC is not a Google recruitment programme, and participation does not guarantee a job at Google. Its value is the mentored project experience and contribution to a real open-source organisation.

Another route worth exploring in India is Code for GovTech, listed on the AICTE National Internship Portal. Its programme focuses on open-source public technology projects and digital public infrastructure. Check the current listing for eligibility, project details and application status before applying.

How to make this useful for your job search: Do not simply add "open-source contributor" to your resume after changing a typo. Be able to show the issue, your contribution, the review process and what you learned from working with an existing codebase.

Route 2: Enter company-run challenges and hiring competitions

Some companies use hackathons, ideathons and coding competitions to identify students who can solve problems and work under constraints.

These events can be more valuable than generic certificates because they may involve evaluation by the company, feedback, recognition or a route to further selection. The exact benefit depends on the event.

For example, Cisco's India Ideathon page describes a challenge for eligible final-year Cisco Networking Academy students, with shortlisted participants progressing through an assessment, idea submission and interviews. The programme describes an internship opportunity for selected finalists, with potential full-time opportunities. Eligibility and dates are specific to the programme, so students should check the official page rather than assume every student can participate.

You can also monitor platforms such as Unstop for company challenges, hackathons and competitions. Filter by graduation year, role and eligibility. Do not assume that every event labelled "hiring challenge" guarantees an interview or job offer.

A useful strategy: Track companies you want to work for and check their early-career pages every few weeks. Look for terms such as university hiring, student challenge, hackathon, pre-placement interview, graduate programme and internship. These opportunities may appear outside the usual campus placement announcements.

Route 3: Apply for off-campus graduate hiring drives

Some companies recruit graduates through applications open to candidates from multiple colleges.

For instance, Cognizant's GenC programme page describes off-campus hiring drives for graduates, with eligibility depending on the specific stream, role and batch. Its hiring process can vary by role and drive.

This matters for students whose colleges have limited recruiter access. You can monitor official company career pages instead of waiting for a placement notification.

Search for:

• Graduate engineer or graduate trainee
• Associate software engineer
• Entry-level developer
• University graduate
• Early careers
• Graduate hiring drive

Read the eligibility conditions carefully. Some openings specify graduation years, degree branches, minimum marks, backlogs, location or required skills. Applying without checking these details wastes time.

Route 4: Use internships to build evidence, not just collect certificates

You can learn about code reviews, team procedures, testing, debugging, and deadlines through an internship. However, a certificate by itself does not demonstrate practical experience.

When applying, look for internships where you will work on a defined technical task, receive feedback and have a clear understanding of your responsibilities.

If you cannot secure an internship immediately, build a substantial independent project or contribute to an existing open-source project. These do not fully replace company experience, but they provide something concrete to discuss in interviews.

Route 5: Build relationships around your work

Networking does not mean sending "Please refer me" messages to hundreds of strangers.

A more effective approach is to make your work visible. Share a short technical write-up about a problem you solved, publish a project demonstration, contribute to developer communities and ask specific questions about technologies or roles.

When you contact an alumnus or professional, include the job link, your graduation year, relevant skills and a project that demonstrates your ability. A referral can help your application reach the right process, but it cannot replace the assessment.

A low CGPA, backlogs, or a year gap can reduce the number of companies you qualify for, especially through campus placements. But they don't automatically close every route to a ₹10 LPA job. The important distinction is between companies that use academic cutoffs to shortlist candidates and those that assess their technical ability through tests, projects, and interviews.

• If your CGPA is low: Don't apply blindly to every fresher opening. Shortlist companies whose eligibility criteria match your academic record. Use the time to strengthen your coding skills and prepare for technical assessments.
• If you have backlogs: Check whether the company allows candidates with cleared backlogs or requires zero backlogs throughout the degree. If you still have active backlogs, clearing them should be a priority because some hiring processes reject candidates before the technical rounds.
• If you have a year gap: Be prepared to explain what happened during that period. If you used the time to learn programming, complete projects, freelance, or prepare for interviews, show concrete evidence rather than relying on a general explanation.

One important point: A strong GitHub profile, internship, or project can help you stand out, but it cannot override a mandatory academic eligibility condition. Target companies where you meet the criteria, and build your applications around demonstrable technical ability.

Students often prepare for months but begin applying only when campus placements are announced. That is too late to discover that their resume is weak, their project does not work or they struggle to solve timed coding questions.

Treat job preparation as a process with measurable outputs.

Make your resume prove your contribution

Avoid vague statements such as "worked on AI projects" or "good knowledge of Python."

Instead, explain what you built and what your responsibility was.

For example:

Created an application that uses an LLM API and Python to process, retrieve, and generate responses to document questions. System restrictions were documented and unsupported queries were tested.

This gives an interviewer something specific to explore.

Never invent user numbers, performance improvements or business impact. If you worked in a team, clearly state which parts you implemented.

Prepare for the assessment, not just the syllabus

A hiring process may include an online coding test, technical interview, project discussion and behavioural round. The exact process depends on the employer.

Amazon's published software development interview guidance, for example, identifies programming, data structures, algorithms, databases, operating systems, networking and object-oriented design among relevant topics. It is a useful illustration of the breadth of preparation that some software engineering interviews may require—not a template for every company.

Practise explaining your thinking while solving a problem. In project discussions, be prepared to explain architecture, database decisions, testing, trade-offs and limitations. For behavioural questions, prepare real examples of teamwork, handling feedback, managing deadlines and learning from mistakes.

A student does not need to spend every evening studying for four hours. But a high-paying role is unlikely to come from occasional preparation just before placements.

A consistent hour each day can be a useful starting commitment. Use it deliberately:

• 20 minutes: Programming or DSA practice.
• 20 minutes: Learn a concept required for your chosen role.
• 20 minutes: Apply it to a project, revise or document what you have built.

Apply for internships, hackathons, lengthier project sessions, and mock interviews on the weekends. The one-hour routine is not a guarantee of being prepared for the workplace, but it is a place to start. Students who are just starting out or who are getting close to placement season could require additional time.

A practical 12-month sequence for someone with basic programming knowledge could look like this:

This timeline should be adjusted to your beginning point. Go more quickly into projects and applications if you are already proficient in programming. Invest extra effort in the fundamentals if this is your first language.

Is a paid upskilling programme necessary?

No. Students can learn programming, DSA, web development, databases and many other subjects through free documentation, tutorials, coding platforms and open-source projects.

A paid programme may be useful if it provides something you cannot organise effectively on your own: a sequenced curriculum, regular assignments, mentor feedback, guided project work, doubt support, peer accountability and interview preparation.

Before paying, ask for the complete fee, curriculum, time commitment, project details, mentor access, refund terms and the exact meaning of placement or internship support.

A programme that offers job alerts or interview preparation is not the same as one that guarantees a job, and even a written guarantee needs to be read carefully for eligibility and conditions. Do not make a financial decision based only on a highest-package advertisement or a claim about the number of hiring partners.

For parents, the key question should be: What additional capability will this programme help the student build, and can we verify that through the curriculum, projects and support?

If you can independently follow a roadmap, build projects and prepare for interviews, you may not need a paid programme. If you repeatedly struggle with direction, feedback or consistency, structured guidance may be worth evaluating.

No roadmap can guarantee a ₹10 LPA offer, which is a competitive result. However, students can increase their chances by doing more than just finishing their college coursework and biding their time until placement season.

Pick a role. Create the necessary technical framework. Produce examinable work. Explore options outside of campus roads. Apply early, rehearse interviews, and carefully consider the cost of your education.

And don't overlook the routes that may not be discussed in every placement conversation: open-source contributions, company challenges, public technology projects and off-campus graduate hiring.

Your college name may influence which opportunities reach you first. It does not have to determine every opportunity you pursue. The real advantage is being able to show a company what you can do not simply telling it what you have studied.

1. Can I get a ₹10 LPA job from a Tier 3 college?

Yes, it is possible. Students can apply through off-campus graduate drives, company challenges, internships and referrals in addition to campus placements. However, selection depends on role eligibility, skills, assessments and interview performance.

2. Is DSA enough to get a ₹10 LPA fresher job?

No. DSA is important for many software engineering assessments, but you also need programming fundamentals, relevant computer science knowledge, project experience and the ability to explain your technical decisions.

3. Are open-source contributions useful for fresher placements?

They can be. Contributions can demonstrate that you understand an existing codebase, work with version control, respond to reviews and solve practical issues. Programmes such as Google Summer of Code offer mentored project experience, but participation does not guarantee employment.

4. How can a fresher get employment off campus?

For graduate, university, and early-career positions, keep an eye on the official corporate career pages. Additionally, look at company-run hiring challenges and reliable job boards. Check your eligibility for the graduation year and submit an application via the formal procedure.

5. Do I need an internship to get a high-paying fresher job?

Not always. An internship can provide valuable workplace experience, but strong independent projects, open-source contributions and technical assessment performance can also demonstrate your ability.

6. Is it enough to practice coding for an hour every day?

Yes. It can aid in establishing consistency, but the entire amount of time required will depend on your intended role, placement timeframe, and current skill set. Make use of the hour for concentrated practice and set aside more time for significant assignments and interview preparation.