Give yourself 6–8 weeks and follow a fixed plan: revise data structures and algorithms daily (arrays, strings, hashmaps, trees, graphs, dynamic programming), brush up on OOPs, operating systems, DBMS and SQL, and go deep into every project on your resume since interviewers probe what you have built. Research the target company's interview pattern, practise coding while speaking your thought process aloud, and finish with timed mock interviews so you fix weak areas before the real round instead of discovering them in it.

Freshers are judged on fundamentals and clarity, not experience. Master one programming language, solve easy-to-medium DSA problems consistently, revise OOPs concepts with real examples, and learn basic SQL queries. Build one or two solid projects you can explain end to end, keep your resume to a single page, and prepare crisp answers for "tell me about yourself" and project questions. Practise aptitude as well, since many Indian companies still conduct aptitude and group discussion rounds, and take a few mock interviews to get comfortable thinking under pressure.

The process typically includes an online assessment or phone screens followed by technical rounds focused on data structures, algorithms and problem-solving, plus system design and behavioural rounds for experienced candidates. Memorising solutions rarely works because interviewers keep changing constraints to test your thinking. Practise clarifying the problem first, discussing trade-offs, stating time and space complexity, and handling edge cases aloud. Consistent medium-to-hard problem solving, strong fundamentals and full-length timed mocks are what usually separate selections from rejections.

Most companies follow the same broad flow: an online test covering aptitude and coding, one to three technical rounds on DSA, CS fundamentals and your projects, a managerial or hiring-manager round, and a final HR discussion on notice period, salary expectations and location preference. Service-based companies tend to weight aptitude and CS fundamentals more heavily, while product companies and startups go deeper into DSA, system design and past work. The full cycle can take anywhere from a week to over a month, so keep applying to other roles in parallel.

They fall into four buckets: coding and DSA problems on arrays, strings, linked lists, trees, graphs and dynamic programming; CS fundamentals such as OOPs, processes versus threads, deadlocks, normalization and SQL joins; deep-dives into the projects and internships on your resume; and behavioural questions like handling a team conflict or a missed deadline. For senior roles, add system design questions on scaling, caching and databases. Preparing structured stories for the behavioural bucket is what most candidates skip and then struggle with.

Fresher rounds usually stay close to the basics: language fundamentals (for example, list versus tuple, or compile-time versus runtime polymorphism), the four OOPs pillars with examples, simple DSA problems like reversing a string or finding duplicates, basic SQL queries, and detailed questions on your academic projects. The HR round then covers "tell me about yourself", strengths and weaknesses, relocation and salary expectations. The most common mistake is giving memorised, rambling answers, so practise delivering every response in under two minutes.

Search for experiences specific to the company, role and level you are targeting on coding forums, Glassdoor and Reddit, and extract four things: the number and type of rounds, topics that appeared repeatedly, the difficulty level, and how recent the post is, since patterns change every year or two. Convert that into a topic checklist and practise those areas specifically. Reading passively creates false confidence, so close the loop by attempting those exact question types under timed, interview-like conditions.

A mock interview is a realistic rehearsal of an interview — same format, similar questions, same time pressure — followed by honest feedback. Its purpose is to expose weak spots while the stakes are still low, whether that is slow problem solving, unstructured answers or nervous communication, and to reduce anxiety through repetition. Even two or three mocks with detailed feedback typically improve performance far more than solo practice, because delivering an answer under pressure is a separate skill from knowing the answer.

Set up a video call with a mentor, a senior colleague or a friend preparing for the same role, and treat it exactly like the real thing: camera on, timer running, no pausing to search for answers. Other options include platforms that match you with random practice partners, peer study groups, or recording yourself and reviewing the tape. The part that actually improves you is the structured feedback afterwards — note where you hesitated, chose an unoptimised approach or rambled, and re-attempt those questions a day later.

Ask an AI tool to role-play an interviewer for your specific role and target company, answer its questions out loud within a fixed time, then paste your answers back and ask for critique on correctness, clarity and structure. It is excellent for unlimited reps, question variety and instant feedback. The limitation is that AI cannot truly judge how you come across, whether your reasoning would convince a real interviewer, or how well you handle interruptions and follow-up probing, so pair AI practice with at least a few human-taken mocks.

Work through a fixed checklist: mirror the keywords from the job description, quantify every bullet with numbers or outcomes, keep it to one page early in your career, use a clean single-column ATS-friendly layout, keep tenses consistent and remove every typo. Then interrogate each line with "so what?" — if a bullet only lists responsibilities without impact, rewrite or cut it. Finish with a review by someone who has actually hired for your type of role, because they catch credibility gaps that self-review and spellcheck never will.

Paste your resume along with the job description and ask it to respond as a hiring manager for that role: request missing keywords, weak or vague bullets, unclear impact, and a rewrite of your three weakest lines. Work section by section instead of asking a vague "is my resume good?", since targeted prompts produce usable feedback. One caution — AI does not know what recruiters in your specific stack and market actually shortlist for, so treat it as a strong first pass and get the final review from an experienced engineer or mentor.

A free resume review — from AI tools, friends or a college placement cell — reliably catches surface problems: formatting, typos, missing keywords and inconsistent layout. Where it falls short is depth, because someone who has never hired software engineers cannot tell whether your project descriptions match what technical recruiters shortlist for, or which achievements should lead the page. If you are applying consistently but not getting interview calls, that gap is often the reason, and a detailed review from someone who works in the field is usually the fastest fix.

Check three things before paying. First, whether the reviewer has real software hiring or senior engineering experience rather than only a writing background. Second, whether you get line-by-line feedback with rewritten examples instead of a generic score or template. Third, whether the review is tailored to your target roles, experience level and region instead of a one-size-fits-all checklist. A follow-up option to ask questions after receiving the feedback is also valuable, so prefer services that let you clarify doubts.

Deciding what to wear for a software engineer interview depends mostly on the company type: neat formals for large service-based firms, banks and MNCs, and clean business casuals — a collared shirt with trousers and closed shoes — for product companies and startups. Whatever you choose should be well-fitted, ironed and understated. For online interviews, wear the full outfit anyway because it changes your posture, pick solid colours that contrast with your background, and test your camera framing and lighting a few minutes before the call.