Preparing for Fast-Track Software Engineer Interviews

From @gmail.com to @google.com (as SWE-2), the exact resources that helped me  Back in June 2022, I officially joined Google as an SWE-2, but the journey started way before that.  If you’re in college, aiming for FAANG, here’s exactly what worked for me: ◄ Step 1: Picking the Right Language (And Sticking to It!)  I wasted time jumping between multiple languages. Don’t make that mistake.   I picked C++ because:   ✅ Already knew C → Syntax was easy to pick up.   ✅ Best support for CP → Codeforces, CodeChef, LeetCode discussions.   ✅ Faster execution in contests.  👉 But you can pick Java or Python too. The language doesn’t matter. problem-solving does.  Resources to help you:   - https://lnkd.in/gXiWaK39 - https://lnkd.in/gK7vD5iJ ◄ Step 2: DSA I wasted months just reading theory, thinking I was learning. I wasn’t.  Here’s what finally worked:   ✅ Learn a concept → Solve 5-10 problems on it immediately.   ✅ LeetCode grind → 500+ problems before my first Google interview.   ✅ Weekly contests → LeetCode & CodeForces, even if I ranked badly.  🔥 Absolute must-do topics for interviews:   - Arrays, Strings, Linked Lists (Amazon, Flipkart love these)   - Recursion & Backtracking (Google, Meta ask these a lot)   - Trees & Graphs (FAANG favorite)   - Dynamic Programming (The real interview filter)  Where to Learn:   - LeetCode → Learning Patterns For Problems - https://lnkd.in/ggZVrwfs - CodeForces & CodeChef → Practice For Competitive edge   ◄ Step 3: Mock Interviews & Resume Building   - Resume → Kept it 1 page. Highlighted DSA, CP, & projects.   - Mock Interviews → Pramp, InterviewBit, Peer Practice.   - System Design Basics → Watched ByteByteGo videos for FAANG prep.  👉 My Resume Breakdown Video → https://lnkd.in/gsWjJjmT ◄ Step 4: Projects If you only do DSA, you’re just another LeetCode grinder. You need projects too to stand out.  Here’s what I built:   ✅ A Django-based web app (Used for my Google interview project discussion).   ✅ Spring Boot API + database project (Helped me stand out).   ✅ A small ML project (Because I was curious).  👉 Project Ideas for Your Resume:   - Portfolio website (React/Next.js)   - Backend project (Django, Spring Boot, FastAPI)   - A clone of any app you use daily  ◄ The Real Reason I Got Into Google?   I never stopped. Even after I cracked SAP Labs, I kept solving DSA.   Even after I got CureFit, I revised my weak topics.   Even after I started my internship, I stayed consistent.  Everyone asks: "How do I get into FAANG?"  The answer is simple: Show up daily. Do the work. The results will come. Sorry to disappoint but there is no big secret  

I gave 60+ interviews last year, and I can tell you for a fact that mediocre preparation will not help you clear these rounds. System design rounds have a heavy weightage and for good reason. They test you for: – How you frame an ambiguous problem and choose the constraints – How strong your fundamentals are around storage, caching, queues, networking, performance – Whether you can go deep on 1 or 2 critical pieces instead of hand waving the whole picture – How clearly you communicate under time pressure while making trade offs explicit If you are preparing, here is a simple framework anyone can apply: 1. Get the basics out of the way - Storage: relational vs document vs key value, when to pick what, ACID vs BASE. - Scalability: vertical vs horizontal scaling, sharding, replication, consistent hashing. - Networking: request flow, REST vs gRPC vs WebSockets, what a load balancer actually does. - Performance and reliability: latency vs throughput, caching strategies, replication, failover, CAP. Do not try to memorize every term. Target the top 6 concepts and understand where they show up. Get your fundamentals strong 2. Learn the standard components by use case. For each of these, answer: what problem does it solve, what trade-offs does it bring? - Database - Cache - Message queue - Blob storage - CDN - Search index Once you can explain those in plain language, boxes on the whiteboard start to mean something. 3. Use a strict interview framework every single time When you hear a question: - Clarify requirements + Functional: what the system must do. + Non-functional: scale, latency, consistency, availability targets. - Identify core entities and APIs + List 3 to 5 main entities and 5 to 8 key endpoints. - Draw a simple first design + One web tier, one service layer, one database, maybe a cache. - Deep dive on 2 things that actually matter for this problem Examples: feed ranking and fanout for a social app, ticket booking consistency for Ticketmaster, hot key handling for rate limiting. 4. Practice on a tight set of patterns. Rotate through about 10 problems that cover the main shapes: - Content feed - File storage and sharing - Messaging or chat - Rate limiter or API gateway - Search and autocomplete - Analytics or click tracking pipeline - Ticket booking or reservation - Notification service - For each problem, do three passes: + Pass 1: watch or read a good solution to understand the pattern. + Pass 2: do it yourself on a timer, then compare. + Pass 3: teach it out loud to a friend or a blank screen. If you treat system design like another multiple-choice quiz, 2026 interviews will be painful. – P.S: Say Hi on Twitter: https://lnkd.in/g9H82Q98 — P.P.S: Feel free to reach out to me if you're preparing for a switch, want to chat about interview preparation, or how to move to the next level in your career: https://lnkd.in/guttEuU7

If I lost everything today and had to start from scratch to get back into Microsoft as a software engineer, here’s exactly what I’d do on system design prep,. based on what I know now: I’m currently a Senior Software Engineer at Microsoft (7+ years). I get a LOT of questions about system design interviews, so here’s my full approach. 1. Understand What System Design Interviews Really Test - It’s not about fancy boxes and buzzwords. - You’ll be asked to design a real system (e.g., Uber, Dropbox) on a whiteboard - The goal: Can you break a big problem into working parts and explain your decisions? 2. Brush Up Your Fundamentals - Don’t skip this step. Even seniors forget basic concepts. - Know the differences and use cases for:   - Relational DBs (SQL)   - NoSQL/Document Stores (MongoDB, DynamoDB)   - Key-Value Stores (Redis) - Learn ACID vs BASE. Understand when each makes sense. - Scalability basics: What’s vertical scaling? What’s horizontal? What’s sharding/partitioning? - Networking: You only need to know Application, Transport, and Network layers. (APIs, REST vs gRPC, TCP vs UDP, basic load balancing.) - Latency and performance: Have rough numbers in your head (memory vs disk vs network speeds). Learn to spot and fix bottlenecks. - Fault tolerance: Know how redundancy and replication work. - CAP theorem: Every interviewer expects you to mention consistency, availability, and partition tolerance, and pick the right one for the use case. 3. Pick a Simple, Repeatable Framework for Interviews - Always start with requirements, - functional (features) and non-functional (scale, latency, consistency, etc). - List core entities/tables (users, events, orders, etc). - Map out basic APIs/endpoints needed. - Draw a simple, high-level design: what’s needed for V1 to work at all. - Dive deeper only when the interviewer asks, optimize for scale, speed, or whatever NFR matters most. 4. Focus Your Practice on Common Patterns, Not Random Problems - Don’t get lost in huge lists online. - Instead, focus on core, repeating problems:   1. URL Shortener (Bitly)   2. File Storage (Dropbox)   3. Ticket Booking (Ticketmaster)   4. News Feed   5. Chat System   6. Rate Limiter   7. Message Queue   8. Search Autocomplete   9. Video Streaming   10. Post Search - Work through these one at a time until you can explain every part, storage, traffic, failure, scaling. 5. When Practicing, Use This Cycle - First, try the problem on your own, sketch it on a whiteboard or notebook. - Don’t check solutions right away. Get stuck. Find out what you don’t know. - THEN, look up a detailed solution or watch a video to fill the gaps. - Make notes: What patterns, what components, what trade-offs? - Repeat with the next problem.   (This “struggle first” approach is 10x better than passive reading.) Continued in Comments ↓

After taking 75 Software Engineer interviews at Google in < 7 months, I’ve seen a range of mistakes all of us make in coding interviews. Here’s a compiled list to help you (and me) avoid these pitfalls in our future interviews! 1️⃣ Not Clarifying Requirements > Many candidates jump straight into coding. Often without fully understanding the problem. This can waste time and lead to errors. Tip: Always ask clarifying questions. To ensure you get the requirements. Confirm edge cases and input constraints early on. 2️⃣ Overcomplicating Solutions > In the heat of the moment, it is easy to overthink a problem. And this complicates the solution, both for you and your interviewer. Tip: Start with a brute-force approach (just explain it), then iterate towards optimization (code it up). Easy-to-understand solutions get bonus points. 3️⃣ Under-Communication > Interviews are not just about coding. They’re also about conveying your thought process. Silence takes away the only help you have during the interview—your interviewer. Tip: Think out loud! Explain your reasoning and approach as you code. This helps the interviewers understand you and even guide you if needed. 4️⃣ Ignoring Edge Cases > Many candidates create a working solution. But fail to consider edge cases. This can lead to catastrophic failures. Tip: After arriving at a solution, always discuss potential edge cases. Explain how your code handles them. This shows your thoroughness. 5️⃣ Neglecting to Optimize > Even if your solution works, failing to consider optimization can cost you points. Tip: After solving the problem, re-read your solution and discuss ways to improve time and space complexity. No micro-optimizations. Interviewers appreciate candidates who think about efficiency in big-oh notation. 6️⃣ Skipping Dry Runs > 80%+ candidates skip the dry run of their code, leading to overlooked mistakes. Tip: Walk through your code with sample inputs. This helps catch errors early and makes you look proactive. 7️⃣ Getting Flustered > Interviews are stressful. And it is easy to panic if you hit a roadblock. Tip: If you’re stuck, ask for a minute or 2 to gather your thoughts. Ask for hints if necessary—interviewers appreciate candidates who are willing to seek help. Those were my 2 cents on how to tackle coding interviews. But believe it or not, the best way to realize your interview mistakes would be to start taking interviews (even mock ones). After conducting so many interviews at Google, I realized how I often fell into the same traps as everyone. Like going completely silent or forgetting to do a dry run for the interviewer. Taking interviews altered my perspective, and now I advise everyone preparing for interviews to take a couple of them first. Total game changer! #codingInterviews #jobPrep #softwareEngineering #Google #interviewTips

When people ask me, “How did you get into Google” ? — they often expect a shortcut or some secret trick. Here’s the truth: there is no shortcut. But there is a strategy. 💪 If you're preparing for big tech interviews (Google, Meta etc.), here’s what I’ve learned first-hand: ✅ 1. Master fundamentals, not just patterns. Instead of memorizing 100+ Leetcode solutions, deeply understand how and why data structures work (e.g., why a trie is used for prefix matching, why dynamic programming optimizes overlapping subproblems). ✅ 2. Solve problems consistently. Quality beats quantity. Solving 2 problems deeply every day > solving 10 problems quickly without understanding. ✅ 3. Think out loud. In interviews, your approach matters more than your final answer. Interviewers want to know how you think, debug, and improve. ✅ 4. Mock interviews are game-changers. Simulate the real interview environment with friends or mentors. You’ll build confidence and identify blind spots. ✅ 5. Embrace feedback and failure. I’ve faced rejections too. Instead of feeling defeated, I treated each one as a free lesson to level up. --- Today, as a Software Engineer at Google, I still use these principles daily — solving real-world problems at scale. ✨ To anyone preparing: You don’t have to be a genius. You just have to keep showing up, learning, and believing in yourself. If you'd like, I can share a detailed roadmap or my personal prep strategy in a future post — just comment “Interested” below! ⬇️ For 1:1 conversations please connect here: https://lnkd.in/ga_5bi57 #Google #SoftwareEngineering #InterviewPreparation #DSA #WomenInTech #CareerAdvice

After conducting ~200 interviews at #Amazon, I’ve seen clear patterns in what sets successful candidates apart. If you’re aiming for an SDE role, here’s how to focus your prep: 1. Sharpen Your Problem-Solving Skills: Strong fundamentals in data structures and algorithms are non-negotiable. Practice medium to hard problems on LeetCode—focus on arrays, trees, graphs, heaps, and DP. 2. Be Ready for System Design Even at L4/L5, expect a system design round. Think high-level architecture, scalability, trade-offs, and be familiar with AWS basics. 3. Master Behavioral Interviews Amazon takes Leadership Principles seriously. Use the STAR format to craft strong stories—highlight ownership, customer obsession, and problem-solving. 4. Think Aloud Interviewers care about your approach, not just the solution. Talk through your thought process, assumptions, and edge cases clearly. 5. Do Mock Interviews Practice with peers or mentors. Real-time feedback improves communication, pacing, and confidence. Consistency beats cramming. Prepare with intention, and you’ll be ready. Let me know how this helped you! #Amazon #SDEInterview #SoftwareEngineering #TechCareers #LeadershipPrinciples

Here’s exactly how I would crack a $150K+ SWE job at Microsoft in 6 months. (A real strategy my client used to land interviews at Microsoft, Meta, and Stripe) Too many engineers prepare hard to crack MAANG. But they lack a solid strategy. Here’s the exact roadmap I'll follow if I wanted to land a SWE job at Microsoft. Step 1: Resume + Role Clarity → Reverse-engineer the JD Study at least 10+ Microsoft SWE job listings. Highlight recurring keywords, must-haves, and preferred tools. → Rewrite your resume like a product pitch Show measurable impact: Good: “Improved load time by 43%” Bad: “Worked on performance optimization.” → Make it keyword-optimized for ATS without sounding robotic. Step 2: Master DSA the Microsoft Way → Focus on patterns, not problems Microsoft LOVES: Sliding window Trees (esp. DFS/BFS) Graphs Dynamic programming → Suggested Platforms: Leetcode (Microsoft tag), Neetcode(dot)io roadmap, Grokking series on Educative → 2 problems/day + 1 mock interview/week = compounding prep Step 3: System Design (yes, even for junior roles) → Start with High-Level Design (HLD): Learn how to design APIs, caching, rate limiting, and DB scaling. → Build a project where you actually implement what you learn. Step 4: Microsoft-Specific Behavioral Prep → Microsoft uses structured behavioral interviews Focus on “3As” framework: Action → Approach → Aftermath → Use real projects to show: Collaboration Adaptability Customer focus Engineering rigor → Prep 8–10 STAR stories mapped to their values Step 5: Mock + Real-World Practice → Do 4–5 peer or mentor-led mock interviews (especially for behavioral + design) → Record yourself. Watch for filler words, unstructured answers, lack of metrics. → Apply for 5 roles/week—Microsoft + similar-sized companies (to get into interview flow) Step 6: Apply Strategically + Use Referrals → Connect with 3–5 engineers/recruiters/week on LinkedIn. Don’t ask for a referral right away - engage first. → Reach out using tailored messages like: “Hi [Name], I’ve been preparing for an SWE role at Microsoft. Your journey from [X] to [Microsoft] really stood out. If you're open, I’d love to learn more about your experience.” → Submit applications using referrals whenever possible + 1-click apply where relevant The client who followed this playbook now works at Microsoft Azure and had 3 competing offers before accepting. It’s not about doing everything. It’s about doing the right things in the right order. Give yourself 6 months and follow this roadmap to make it a reality. Share this with someone who dreams of working at Microsoft. P.S. Follow me if you are a tech job seeker in the U.S. I share practical advice that gets you hired. — Additional resources: https://lnkd.in/eKxQmYtP. https://lnkd.in/gwRWpXR9. https://lnkd.in/g94_Cziv

🚀 Only 2 weeks until your tech interview? Don’t panic — prep smart. I’ve worked with engineers who had just 10 days, not months, to prepare for Amazon, Meta, and top startup interviews — and they crushed it. The key? Strategic focus, not random grinding. 🗓️ 10–14 Day Smart Prep Plan (Adjust this based on your strengths & gaps) 🔹 Days 1–5: DSA Deep Dive 🎯 Goal: Master core patterns — not rack up problem counts ✅ Focus on algos and data structures such as Binary Search, Sliding Window, Two Pointers, Graphs 📌 Do 2–4 medium-level problems/day 🧠 Speak your thoughts out loud — prep like you're in the interview room 🛠 Tools: LeetCode, NeetCode, Pattern Tracker 🚫 If you're stuck >10 mins: pause → study → learn the pattern 🔹 Days 5–9: System Design + Mock Interview 🎯 Goal: Communicate architecture with clarity ✅ Pick a framework: SCOPE (Scope → Constraints → Options → Plan → Evaluate) RDASD (Requirements → Data → Access → Scale → Design) ✅ Study concepts: APIs, Load Balancers, Queues, Databases, Caching, Sharding and others 💡 Do 2–3 design prompts daily 🎙 Book a real mock — this is where your structure gets pressure-tested 📌 Don’t chase buzzwords — aim for clarity, tradeoffs, and depth 🔹 Days 8–10: Final Polish 🎯 Goal: Build confidence and composure 🌀 Rotate through: DSA → System Design → Behavioral Do 2-hour deep work blocks 📌 Review your mistakes — fix the why, not just the what 📅 Final day = light review, not frantic grinding 🔒 This plan has helped a lot of engineers to do focused prep in last 2 - 3 weeks. ✅ Bounce back stronger after rejections ✅ Go from “not ready” to confident and sharp — fast Want help tailoring this plan to your exact strengths and weak spots? Drop a comment or DM — I’m happy to share more.

🎯 The Ultimate Software Engineer Interview Preparation Guide: A Strategic Roadmap to Success As someone who's helped countless developers land their dream roles at top tech companies, I'm excited to share a comprehensive roadmap that won't break your bank or burn you out. #TechCareers #SoftwareEngineering 🔍 The Challenge: Let's face it - the tech job market is more competitive than ever. With layoffs making headlines and talent pools overflowing, standing out requires strategic preparation. But where do you start when faced with an ocean of DSA, system design, and coding challenges? �� The Strategic Framework: I've distilled years of interview preparation experience into six critical pillars: ➡️ Data Structures & Algorithms (DSA) Master fundamental structures (arrays, trees, graphs) Focus on pattern recognition Practice with purpose using curated lists (Blind 75, Grind 75) ➡️ System Design (HLD) Understand scalability principles Master distributed systems concepts Practice real-world architectures ➡️ Low-Level Design (LLD) Deep dive into OOP principles Master design patterns Build practical implementation skills ➡️ CS Fundamentals Operating systems Computer networks Database management ➡️ Behavioral Excellence STAR method mastery Story banking Cultural fit preparation ➡️ Company-Specific Strategy Targeted problem solving Company values alignment Technical stack familiarity 💡 Pro Tip: Success isn't just about knowledge - it's about structured preparation and consistent practice. 🎯 Action Steps: Create a 12-week study schedule Practice daily coding challenges Join study groups Schedule mock interviews Review and refine your approach Want to dive deeper? Ready to level up your interview game? Drop a "YES" in the comments! #SoftwareEngineering #TechInterviews #CodingInterviews #CareerGrowth #TechCareers #Programming #JobSearch #InterviewPrep #TechJobs #SoftwareDevelopment

My client passed 8 out of his next 10 technical assessments in just 4 weeks of working together They went from failing every technical assessment, hating and blaming the system… But the truth is: You don't rise to the occasion. You fall to the level of your preparation. So I taught him what I teach all my clients: Don’t cram for interviews, train like an athlete, and practice like a professional. Here’s how I help clients prep for interviews without burning out or waiting until an assessment shows up in their inbox. We build coding prep like a habit stack. Each layer trains a real-world interview skill. 𝟭) 𝗟𝗲𝘃𝗲𝗹 𝟭: 𝗗𝗮𝗶𝗹𝘆 𝗰𝗼𝗱𝗶𝗻𝗴 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 (𝟯𝟬 𝗺𝗶𝗻𝘀) Daily coding practice on Platforms WHY? To start interview prep for the assessment and live coding rounds 𝟮) 𝗟𝗲𝘃𝗲𝗹 𝟮: 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 + 𝗽𝘂𝘀𝗵 𝘁𝗼 𝗚𝗶𝘁𝗛𝘂𝗯 Daily coding practice on Platforms + Git, committing progress\ WHY? To retain more information and be able to reflect on your progress 𝟯) 𝗟𝗲𝘃𝗲𝗹 𝟯: 𝗔𝗱𝗱 𝗰𝗹𝗲𝗮𝗿 𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 Daily coding practice on Platforms + Git, committing progress with good commit messages WHY? To practice clearly communicating to your team with git 𝟰) 𝗟𝗲𝘃𝗲𝗹 𝟰: 𝗧𝗿𝗮𝗰𝗸 𝘁𝗶𝗺𝗲 𝗶𝗻 𝗰𝗼𝗺𝗺𝗶𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 Daily coding practice on Platforms + Git, committing progress with good commit messages + Adding time, then adding how long it took in your commit message WHY? To practice like the interview (assessment or live coding) with a little more nervousness, so you can crush the interviews 𝟱) 𝗟𝗲𝘃𝗲𝗹 𝟱: 𝗧𝗮𝗹𝗸 𝗼𝘂𝘁 𝗹𝗼𝘂𝗱 𝘄𝗵𝗶𝗹𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 Daily coding practice on Platforms + Git committing progress with good commit messages + Adding time, then adding how long it took in your commit message + Talking aloud WHY? To practice like the interview (live coding, case study, system design) by communicating your actions and reasoning, so your practice is more like the real thing, and you can crush the interviews 𝟲)𝗟𝗲𝘃𝗲𝗹 𝟲: 𝗦𝗵𝗮𝗿𝗲 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻𝗲𝗱 (𝗮𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁) Daily coding practice on Platforms + Git committing progress with good commit messages + Adding time, then adding how long it took in your commit message + Talking aloud + Creating a mini content WHY? To start building the habit of creating content from your learnings. The easiest way to create content is to document your life This method has helped my clients pass 80 %+ of coding rounds and land roles in data, analytics, and tech. Take a look at what stage you are on, then, when you are consistent, you can move to the next one. Let’s build the habit, not the panic. ♻️ Repost if you found this helpful