To prepare for an SDE interview, start with core DSA (arrays, strings, trees, graphs, dynamic programming), then cover CS fundamentals like OS, DBMS and computer networks, and finish with your projects and behavioural rounds. Solve 2-3 coding problems daily, track your weak patterns, and take mock interviews before applying. Many candidates also get their plan validated through a 1:1 call with a working SDE so they don't spend weeks on the wrong topics.

Preparing for an SDE 2 interview needs more than DSA — expect system design (both HLD and LLD), deep questions on projects you owned, and behavioural rounds on trade-offs and leadership. Revise 2-3 projects where you made technical decisions, practise designing scalable systems out loud, and prepare STAR-format stories. Give design rounds equal weight to coding, as they often carry the most weight at this level.

A realistic SDE interview preparation roadmap runs 8-12 weeks: around 4 weeks for DSA patterns (two pointers, sliding window, trees, graphs, DP), 2 weeks for CS fundamentals, 1-2 weeks for projects and system design basics, and the final week for mock interviews and company-specific revision. Adjust the split based on your experience level and daily study time. If you're unsure where you stand, a mentor can audit your current level and reshape the roadmap around your gaps.

An SDE interview preparation course helps if you need structure and curated problems, but it cannot tell you why your approach keeps failing on a specific pattern. Self-study works for disciplined candidates who already know their weak areas. The gap most candidates face is personalised feedback, which is why pairing a course with occasional 1:1 mentorship — where someone reviews your thinking live — usually gives better results than either alone.

SDE interview prep for Amazon should cover two tracks: coding and Leadership Principles. Practise medium-to-hard DSA problems while clearly explaining your approach, and prepare 8-10 STAR stories mapped to principles like ownership, customer obsession and disagree-and-commit. Also rehearse bar-raiser-style behavioural questions, since Amazon weighs them almost as heavily as coding rounds.

Yes, partly. SDET interview preparation shares the DSA and coding core with SDE roles, but adds automation frameworks (Selenium, Playwright, REST Assured), API and UI testing, test design, and debugging scenarios. If you're targeting both roles, build the common core first and then branch into automation skills; even if you're only targeting SDET, expect at least one solid DSA round.

Choose a software engineer mentorship program where the mentor is a practising engineer rather than a full-time career coach — they know current interview patterns and what hiring managers actually filter for. Check that it covers roadmap planning, mock interviews and resume feedback through 1:1 sessions instead of group webinars, and read past session reviews to confirm mentees received specific, actionable guidance.

Free software engineering mentorship — through communities, college seniors, or cold messages on LinkedIn — is good for general direction, but it is inconsistent and feedback stays generic. Paid 1:1 mentorship gives you dedicated time, accountability, and advice tied specifically to your resume and target companies. A practical approach is to use free resources for basics and book a paid session at critical points, like planning a job switch, choosing between offers, or fixing repeated interview rejections.

To review a resume properly, check five things: length (one page for early careers), quantified impact in every bullet ("cut API latency by 40%", not "worked on performance"), keywords matching the job description for ATS filters, clean formatting with no tables or graphics that break parsing, and zero spelling errors. After your own pass, get it reviewed by a working engineer — they catch weak positioning that checklists usually miss.

To review a resume with ChatGPT, paste it along with the target job description and run four prompts: find missing keywords for the role, rewrite bullet points with measurable impact, flag grammar and formatting issues, and simulate a recruiter's 10-second scan to see what stands out. AI is fast for language and structure, but it doesn't know what interviewers at specific companies look for — so treat it as a first pass and get the final review from someone experienced in tech hiring.

LinkedIn resume review tools are fine for catching formatting and readability problems, but the feedback is generic and won't tell you whether your projects match what product companies actually shortlist. For software roles, a review from a working engineer — someone who has been on the other side of hiring — surfaces far more specific fixes. Use automated checks for hygiene and a human expert for positioning.

Free AI tools handle grammar, formatting and keyword matching well. A paid resume review service earns its cost when you are applying regularly but not getting interview calls — an experienced reviewer can spot weak project framing, missing impact metrics and role misalignment that AI misses, and explain the fixes live so you can apply them immediately. If rejections are the problem, one detailed human review usually fixes more than ten AI passes.

It depends on who reviews it. Automated tools give results instantly, professional reviewers typically take 1-3 days, and a live 1:1 resume review gives you line-by-line feedback within the call itself — the fastest option if you want to correct your resume and start applying the same week.

In India the terms are used interchangeably for tech jobs, so a CV review covers the same ground as a resume review: structure, relevant skills, quantified achievements and ATS-friendliness. "CV" is more common in academic and international contexts, but for software roles the review process and outcomes are identical — what matters is whether your document survives both the ATS and the recruiter's short scan.

Career guidance for freshers is most valuable at decision points — choosing your first stack, deciding between joining a service company or preparing longer for product roles, and planning your first switch. Self-research works but is slow and full of conflicting advice; a mentor who has already made those moves can compress months of trial and error into a single conversation. If you're in your final year or first job, one focused session is usually enough to set a clear direction.