Cracking a software engineer interview comes down to three things: strong problem-solving in data structures and algorithms, clear communication while coding, and real depth in the projects on your resume. Build a plan that covers DSA patterns, core subjects like OS, DBMS and networks, and timed mock practice. Consistent preparation over 2-3 months almost always beats last-minute cramming.

Google interviews focus heavily on data structures, algorithms and system design, with equal weight on how you think aloud and handle unfamiliar problems. Practise medium-to-hard DSA problems, learn to discuss trade-offs, and prepare structured stories for behavioural questions. Multiple rounds of mock interviews with honest feedback are the most reliable way to get ready for the actual bar.

For most candidates, serious software engineer interview preparation takes around 2-4 months alongside a job or college, depending on your current DSA level. Freshers usually need extra time on fundamentals, while experienced engineers can focus more on system design and role-specific depth. A realistic routine is 1-2 hours on weekdays with longer problem-solving sessions on weekends.

Freshers are most often tested on arrays, strings, linked lists, trees and dynamic programming, along with OOP, DBMS, operating systems and basic SQL. Interviewers also dig deep into the projects on your resume, so be ready to explain your role, tech choices and challenges. HR rounds typically cover strengths, relocation willingness and career goals.

Most product companies follow a similar software engineer interview process: resume shortlisting, an online coding assessment, two to three technical rounds on DSA and problem-solving, a system design or LLD round for experienced roles, and finally a hiring manager or HR round. The number of rounds varies, but the skills tested stay largely the same, so preparing DSA, design and behavioural answers covers you end to end.

Reading a real software engineer interview experience post for the company and role you are targeting helps you understand the round structure, difficulty level and frequently repeated question patterns. Use these posts to shortlist topics and gauge depth, but do not memorise answers, since interviewers keep changing questions. Combine the insight with timed practice so the knowledge converts into actual performance.

The most effective way to practice interview questions is to attempt every problem on a timer, struggle for at least 20-30 minutes, and only then study the solution. Once you understand it, re-solve it from scratch and revisit it after a week. Speaking your approach aloud while solving matters just as much, because explaining your thought process is exactly what interviewers evaluate.

To mock interview with AI, paste the job description into a tool like ChatGPT, ask it to conduct a role-specific interview one question at a time, and answer exactly as you would in front of a real interviewer. Request structured feedback on your approach, communication and complexity analysis after each round. It is a great low-pressure starting point, though AI cannot fully replicate the follow-up pressure of a real interviewer.

Good free options include peer mocks with friends or seniors, recording yourself answering common questions, AI-based mock tools and student or developer communities where members interview each other. Mock interview practice online for free is excellent for building confidence, but it rarely comes with expert feedback on what exactly to fix. Once comfortable, one structured mock with someone who has cleared interviews at product companies can expose gaps much faster.

A mock interview for freshers usually covers one or two DSA problems solved live, questions on CS fundamentals, a short discussion of your resume projects, and detailed feedback at the end. The interviewer evaluates how you approach an unknown problem, communicate your thinking and respond to hints. A good mock closes with an honest gap list covering speed, clarity and fundamentals so you know exactly what to fix.

Start by checking whether every bullet point shows impact rather than responsibility, using numbers, outcomes and scale. Then check the format: clean single-column layout, consistent fonts, an ATS-friendly structure and skills tailored to the job description. If you are unsure how to review a resume objectively, get at least one other person to read it, because you naturally go blind to your own gaps after a few edits.

Paste your resume along with the target job description and ask for section-wise feedback on impact, clarity, keyword alignment and ATS fit. A vague instruction gives vague output, so a strong resume review prompt should mention your experience level, the role you are targeting, and explicitly ask the AI to rewrite weak bullets with measurable results. Since AI cannot judge company-specific recruiter signals, treat it as a first pass and get a final review from someone who has worked in the roles you are aiming for.

Resume review by AI is excellent for fixing structure, grammar, keyword optimisation and weak phrasing, and it is instant and free. What it cannot do is tell you which projects actually matter for a specific company, how hiring managers at product companies read resumes, or where you are underselling your experience. The best results usually come from an AI-assisted cleanup followed by feedback from someone senior in the same field.

A good resume review service is worth it if your resume is not getting shortlisted despite relevant skills, because the problem is usually presentation rather than qualification. Look for reviewers who have themselves worked at product companies or sat on the hiring side, since they know exactly what recruiters filter for. Generic, template-based feedback without specific rewrites is rarely worth paying for.

You can get a free resume review from online resume communities, seniors or mentors in your network, LinkedIn connections who hire, and AI tools that give instant feedback. These work well for a first polish, though free feedback tends to be generic and varies widely in quality. If your resume still is not converting into interview calls after a free round of feedback, a detailed review from an experienced engineer is the logical next step.