Navigating Local Practices in Technical Interviews

 If you're interviewing at a big tech company, you need to know:   That as a sourcing recruiter, finding great talent is just the beginning. When I present candidates for technical interviews, I need them to be equipped with compelling project stories that showcase their skills and experience effectively.   Different interviewers focus on different Leadership Principles and technical competencies, and having a diverse portfolio of examples allows candidates to demonstrate their full range of abilities while avoiding repetition across multiple rounds.   Amazon is deeply committed to its Leadership Principles, which serve as the foundation for how employees make decisions, solve problems, and interact with customers and colleagues across all levels of the organization. More information on LPs here - https://lnkd.in/ebVj_68g   Best Practices for Pulling Stories from Your Background   1. Map Stories to Core Competencies  Identify 5-7 key competencies the role requires (leadership, problem-solving, collaboration, innovation, etc.) and ensure you have at least 3-4 strong stories for each.   I know this sounds extensive, but with a 4-5 person panel and at least an hour of questions, it's better to be over-prepared than caught off guard.   2. Vary Your Story Contexts and draw from different experiences Pull from recent projects, challenging situations, team collaborations, individual achievements, and cross-functional initiatives. This diversity shows adaptability and breadth of experience.   This will require PREP: you'll need to carve out time to document your examples. Don't just give it the ole' college try… really invest in the process.   3. Practice the 2-Minute Rule Each story should be concise enough to tell in 2 minutes, leaving time for follow-up questions. Practice delivering your stories clearly and confidently - preparation shows professionalism.   Anticipate deeper questions about your role, challenges faced, alternative approaches, and lessons learned. Interviewers often dig deeper into stories that resonate, so be ready to elaborate authentically.   ++Pay attention to engagement signals: You'll need to actively listen just like your interviewer. You're looking for visual cues. Is my interviewer leaning in and asking follow up questions? Are they looking glazed over? Are they nodding in agreement?   Remember: Great stories don't just describe what happened - they demonstrate how you think, solve problems, and embody Amazon's Leadership Principles.   What's your go-to framework for preparing compelling stories? Drop your best tips in the comments!   https://lnkd.in/eMNBQ65S   #Recruiting #InterviewPrep #AmazonCareers #BehavioralInterviews #AlwaysHiring

Want to ace your next technical interview? Ever wondered what sets apart a good candidate from a great one in technical interviews? It's not just about showcasing your coding abilities or deep technical knowledge. The real game-changer is often something less talked about yet incredibly powerful: active listening. This matters more than you might think. Active listening is more than just hearing the words being said. It's about fully engaging with the interviewer - understanding, responding to, and remembering their questions and comments. This approach is not just about solving the problem at hand; it's about demonstrating that you're an effective communicator, a critical skill in any tech role. Example: Consider a candidate jotting down the question on paper. This simple act signifies engagement and ensures that no critical details are missed - details that could be pivotal for your solution. You are sending great positive signals to the interviewer. By actively listening, you: - Build rapport: Show the interviewer you're not just another candidate. You're someone who is genuinely interested and engaged, making the interview a positive and even enjoyable experience. - Avoid misunderstandings: Ensure you fully understand the question and the problem's requirements, reducing the likelihood of misinterpretation. This happens so often during technical interviews. - Demonstrate your problem solving and communication skills: Active listening highlights your ability to grasp complex issues and communicate effectively - key traits for any tech professional. Let's say you're not great at this today, what can you do? 1) Clarify and confirm: Never shy away from asking questions to clarify doubts and verify assumptions you are making. 2) Summarize the problem: Before diving into the solution, repeat the problem in your own words. 3) Take notes: Jot down key points to keep track of important information. 4) Non-verbal cues: Use nods and affirmative sounds to show engagement. This is important, even in a Zoom call. 5) Feedback loop: After presenting a solution, ask for feedback to ensure alignment with the interviewer's expectations. 6) Verbalise your inner monolog: Share all the tiny choices you are continuously making. It's ok to stop and think, but tell the interviewer what you are pondering about. Remember, in your next technical interview, it's not just what you say, but how attentively you listen and respond that could set you apart. --- ♻️ Share this post so others can improve their technical interview performance. 📌 Follow me (Eli Gündüz) for daily tips and advice similar to this post. #technicalinterview #coding #tips #careerdevelopment

Recently, I was part of a hiring event at Microsoft, interviewing candidates for the SDE-1 role. I noticed something interesting—successful candidates followed a pattern in their coding interviews. Here’s exactly what matters and how to structure your 30-minute coding interview for success. What Actually Matters in a Tech Interview? You’re evaluated on: ✅ Problem-Solving Skills – Can you break down complex problems? ✅ Technical Fundamentals – Do you understand data structures & algorithms? ✅ Coding Ability – Can you write clean, efficient code? ✅ Communication – Are you explaining your thought process clearly? ✅ Testing – Can you catch edge cases and debug efficiently? How to Structure Your 30-Minute Coding Interview ⏳ 1️⃣ Problem Understanding & Test Cases (5-8 mins) 🔹 Read the problem carefully & clarify doubts. 🔹 Identify constraints (input size, edge cases). 🔹 Write 2-3 test cases, covering both happy and edge cases. 💡 2️⃣ Identifying the Best Approach (10 mins) 🔹 Think through multiple solutions & pick the best one. 🔹 Communicate your thought process—interviewers might guide you. 🔹 Write a one-liner summary of your approach & its time complexity. ⌨️ 3️⃣ Coding (10-15 mins) 🔹 Write clean, structured code—avoid rushing! 🔹 Dry-run your solution before saying “I’m done.” 🔹 If you get stuck, step back and reassess logically. 🚀 4️⃣ Bonus Points (if time allows) ✨ Write unit test cases & run them against your code. ✨ Discuss scalability: “What if the input size grows to millions?” ✨ Talk about modularity: “Can this be refactored into reusable functions?” Interviewing is a mix of skill and luck. Even with the best preparation, some days just don’t go as planned—and that’s okay. One interview does not define your worth. If you’re preparing for tech interviews, I hope these insights help! 💬 What’s your biggest lesson from a technical interview? Drop your thoughts below! 👇

Technical interviews are a gateway to your dream tech role, but many candidates fall short not due to lack of skill, but avoidable missteps. Working with IT hiring managers, I’ve seen patterns repeat. If you're heading into a technical interview, watch out for these common mistakes and here’s how to handle them better: 🚫 Mistake #1: Jumping into code too quickly Scenario: You start coding immediately and later realize you misunderstood the question. Fix: ✅ Take a moment to clarify the problem. ✅ Ask questions, restate it, and outline your thought process before coding. 🚫 Mistake #2: Staying silent Scenario: You solve the task but say little. Fix: ✅ Think out loud. ✅ Use phrases like: “I’d check for edge cases like…” or “Using a hash map might help because…” 🚫 Mistake #3: Over-focusing on syntax Scenario: You get stuck on small language issues. Fix: ✅ Focus on logic. ✅ Use pseudocode if needed. ✅ Clearly explain your intended approach. 🚫 Mistake #4: Giving up too quickly Scenario: You hit a wall and say “I don’t know.” Fix: ✅ Walk through what you do know. ✅ Break it down and show persistence. 🚫 Mistake #5: Not researching the company Scenario: You give a vague answer to “Why us?” Fix: ✅ Research the company’s work, stack, and culture. ✅ Tailor your answers to align with their needs. Final Thoughts Tech interviews test more than your code. They test your thinking, communication, and composure. With the right mindset and preparation, you can avoid these mistakes and truly stand out. #TechnicalInterviewTips #TechCareers #ITJobs #InterviewPreparation #CodingInterviews #SoftwareEngineering #CareerGrowth #JobSearchTips #HiringAdvice #RecruitmentInsights #ITCareers #JobInterviewTips #TechHiring #TechRecruitment #CareerAdvice

One of the biggest reasons candidates don’t clear system design interviews? They can’t handle the drill-down questions about their design. A lot of people walk into these interviews ready to design Uber, Twitter, or a parking garage. They’ve studied the tutorials, memorized the buzzwords—Kafka, RabbitMQ, microservices—you name it. But the real test starts when the problem doesn’t fit the template they prepared for. Let me share an example: Imagine you’re asked to design a queuing mechanism. A typical response might be, “Let’s use Kafka or RabbitMQ.” That’s fine—until the interviewer adds a twist: • The queue isn’t mission-critical. • It works in FIFO but doesn’t need retries if a third-party endpoint is down. This is where many candidates stumble. Instead of adjusting their approach to match the new constraints, they freeze or stick to their original script. Here’s a real-world scenario I came across designing a spam filter for email. If the spam filter fails, the email still has to reach the recipient. There’s no retrying, no waiting—it’s all about speed and reliability. Overengineering in this case isn’t just unnecessary; it’s a problem. The purpose of these drill-downs in interviews is simple: • Can you think critically about the requirements? • Are you actively listening, or just repeating what you’ve practiced? If you’re preparing for interviews, here’s how you can stand out: • Listen actively: Pay attention to the details and constraints. • Ask clarifying questions: Make sure you understand the problem before solving it. • Think deeply: Go beyond the tools—explain why they’re the right fit. System design isn’t about memorizing frameworks or throwing around big names. It’s about understanding trade-offs and choosing the right solution for the problem at hand. And system design interviews are as much about your thought process as your knowledge. Show that you’re flexible, thoughtful, and ready to adapt. #SystemDesign #TechInterviews #InterviewTips #CareerGrowth #SoftwareEngineering

Struggling with case study interviews in tech or engineering roles in Germany? Many international professionals tell me the same thing: “I’m fine in interviews—until they give me a case study.” So I wrote a clear, practical guide to help you prepare. No fluff. No buzzwords. Just real-world examples from QA, backend development, and engineering roles. You’ll learn how to: break down any case logically research the company like a pro structure your response clearly (live or written) ask smart questions that impress hiring teams avoid common mistakes in technical case interviews I’ve coached dozens of international candidates through these exact steps—and now I’ve put it all into one post. Read it here (free): https://lnkd.in/dw9inN7K If you find it helpful, consider subscribing (free). I publish guides to help international professionals navigate the German/European job market with more clarity and confidence.