If you are figuring out how to prepare for an SDE interview, work in this order: (1) DSA — arrays, strings, hashmaps, trees, graphs and dynamic programming, practised daily on one platform instead of jumping between many; (2) CS fundamentals — OS, DBMS, OOP and computer networks; (3) your resume projects, because interviewers dig deep into whatever you have built; and (4) at least 3–4 mock interviews before the real one. Give yourself 8–12 weeks and track progress weekly. A 1:1 mentor who has already cleared SDE interviews at product companies can quickly point out the gaps you cannot see yourself.

There is no shortcut for how to prepare for an SDE 2 interview — the bar is simply higher than for entry-level roles. Expect medium-to-hard DSA, low-level design questions (parking lot, Splitwise, rate limiter), high-level system design (caching, load balancing, database sharding, message queues), and behavioural rounds that test ownership and impact. Prepare 4–5 STAR stories from your real work, know your current project's architecture end to end, and practise system design out loud with a senior engineer so you learn to discuss trade-offs, not just draw diagrams.

A practical SDE interview preparation roadmap for 8–12 weeks looks like this: weeks 1–4, finish core DSA patterns (two pointers, sliding window, binary search, recursion, trees, graphs, DP); weeks 5–6, revise OS, DBMS, OOP and networks along with your projects; weeks 7–8, add system design if you have a year or more of experience; and in the final weeks, do company research plus three timed mock interviews. Freshers usually need the full 12 weeks, while working professionals can compress it based on how sharp their fundamentals already are.

An SDE interview preparation course is worth it only if you need structure, deadlines and accountability. If you already study consistently, a curated problem list, standard CS notes and regular mock interviews can get you similar results. Where paid help genuinely pays off is feedback — recorded lectures cannot tell you why you fumbled a DSA round or what a hiring manager thinks of your resume, while a 1:1 mentor can. Judge any course by the personal feedback it offers, not the number of hours of video.

Yes — one SDE interview preparation GitHub repository that is almost standard is the System Design Primer for HLD, and alongside it the Tech Interview Handbook for process guides and cheat sheets, plus curated DSA lists like NeetCode 150. The mistake most candidates make is bookmarking ten repositories and finishing none. Pick one repo per area, complete it fully, and maintain your own notes so revision before interviews takes hours, not days.

SDE interview prep for Amazon should cover three things: strong DSA (Amazon leans heavily on medium-level problems, especially graphs, trees and heaps), the 16 Leadership Principles, and system design for SDE-2 and above. Write two real STAR stories for each leadership principle before your interviews, because most Amazon rejections happen there rather than in coding rounds. Company-tagged practice plus a couple of mock interviews with engineers from product companies helps you handle Amazon's follow-up-heavy interview style.

The fastest way to learn how to write a software engineer resume is to follow a fixed structure: contact details with GitHub and LinkedIn links, skills grouped by category, experience bullets in the "action + tech stack + measurable result" format, and 2–3 projects with live links. Replace vague lines like "worked on backend" with outcomes such as "cut API response time by 35% using Redis caching", mirror keywords from each job description to clear ATS filters, and keep it to one page. A review by an engineer who has screened resumes at product companies usually catches gaps you will miss on your own.

If you are unsure how to format a software engineer resume, start with these rules: one page (two only if you have 8+ years of experience), a single-column layout with standard headings, a readable font at 10.5–12pt, consistent date formats, and export as PDF. Avoid photos, tables, skill-rating bars and text boxes, because ATS software often misreads them. Order sections by strength — freshers should put projects and education above experience, while experienced engineers lead with experience.

A strong software engineer resume for freshers leads with whatever replaces work experience: 2–3 solid projects with GitHub links and measurable impact, internships if any, technical skills grouped by category, education with CGPA if it is above roughly 7.5, and achievements like competitive programming ratings, hackathons or open source PRs. Recruiters spend under 30 seconds on a fresher resume, so cut coursework lists, school-level details and non-technical hobbies, and let proof of skill carry the page.

Using a software engineer resume template is completely fine — the risk is picking the wrong kind. Graphic-heavy, two-column templates often get scrambled by ATS parsers, so choose a clean, single-column LaTeX or Word template and then customise the content rather than the design. Remember that a template only fixes how your resume looks; what actually gets shortlists is quantified impact, relevant keywords and links to real work — exactly the things a resume review with someone from the hiring side will test.

The right way to put open source contributions on a resume is in a dedicated "Open Source" section or merged under Projects, with each entry showing the organisation or repository name, a one-line description of what you fixed or built, and a link to the merged pull request. Two or three meaningful merged PRs in serious projects outweigh twenty typo fixes, and interviewers at product companies do click those links. Where possible, add numbers — stars, downloads, issues closed — because visible impact makes the contribution credible.

The practical answer to how to contribute to open source is simpler than most guides make it: pick a tool you already use, read its CONTRIBUTING.md, pick an issue labelled "good first issue", fix it, and open a pull request. Learn the standard GitHub workflow (fork, branch, commit, PR, review) first, since that trips up most beginners. Then progress from documentation fixes to small bugs to features, and stay active in the project's Discord or Slack — maintainers guide contributors who communicate well. Two to three months of steady contributions beats one big PR.

An open source contribution in GitHub terms is any accepted change you make to a public repository whose license allows anyone to use, modify and share the code. It includes code work — bug fixes, features, tests — but also documentation, translations, design, issue triage and reviewing other people's pull requests. Everything happens publicly through issues and pull requests, which is why it carries so much weight in hiring: a recruiter or interviewer can verify your skills directly from your GitHub profile instead of trusting resume claims.

If you are relying on open source contributions to get a job, treat them as verifiable proof of skill rather than resume decoration. Choose projects that use the stack your target companies hire for, aim for merged pull requests in well-known repositories, and link them on your resume and LinkedIn. Structured programmes take this further — GSoC, LFX Mentorship and similar programmes often convert into referrals, internships or even pre-placement offers because maintainers vouch for your work. In interviews, be ready to walk through your PRs: the bug, your fix, and the trade-offs you considered.

Good options for open source contributions like GSoC include LFX Mentorship by the Linux Foundation (paid, three terms a year), Outreachy (paid internships for underrepresented groups), GirlScript Summer of Code and Hacktoberfest for absolute beginners, Season of KDE, and the MLH Fellowship. GSoC itself has become more accessible too, since it now allows beginners and working professionals, not just students. Most applications open between February and April, so build your GitHub profile with small merged PRs before the window starts — selectors consistently prefer applicants with visible prior contributions.