The Tech Career Podcast with Fexingo: Engineering Jobs, Interviews, and FAANG Career Strategy

Episode 14 of The Tech Career Podcast with Fexingo dives deep into behavioral interviews at FAANG companies. Lucas and Luna break down the STAR method with a real example from a Meta product manager interview, discuss how to structure stories around impact metrics, and reveal what interviewers actually look for beyond the resume. They also cover common mistakes—like rambling or picking the wrong project—and explain why preparation matters more than improvisation. If you're an engineer preparing for a big tech interview this year, this episode gives you a concrete framework to practice.

#FAANG #BehavioralInterview #STARMethod #Meta #Google #Amazon #TechCareer #EngineeringInterview #InterviewPrep #ProductManager #ImpactMetrics #CareerAdvice #FexingoBusiness #BusinessPodcast #TechPodcast #LucasAndLuna #InterviewTips #JobSearch

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Episode 13 of The Tech Career Podcast with Fexingo dives into one of the most underrated career decisions: picking the right team before accepting a FAANG offer. Lucas and Luna walk through the three factors that matter most — project roadmap, manager style, and team culture — and share a concrete framework for evaluating them during the interview loop. They discuss why a 'team match' call is not just a formality, how to read between the lines of what a hiring manager says, and what questions to ask that reveal whether a team is actually building meaningful work. Lucas cites a specific example of an engineer who joined a high-visibility team at Google only to find the work was maintenance, not new development. Luna pushes back with data on how team switching works inside big tech companies. The episode ends with a practical checklist listeners can use before signing an offer. No fluff, no generic advice — just a sharp tactical guide to avoiding the wrong team and landing on one that accelerates your career.

#FAANG #TeamMatch #TechCareer #EngineeringJobs #JobOffer #GoogleEngineering #MetaEngineering #AmazonEngineering #AppleEngineering #NetflixEngineering #CareerStrategy #InterviewTips #SoftwareEngineering #LucasAndLuna #FexingoBusiness #BusinessPodcast #Technology #CareerAdvice

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Episode 12 of The Tech Career Podcast dives into the culture of first-day reading lists at FAANG companies. Lucas and Luna explore why companies like Google, Meta, and Amazon assign specific books to new engineers—from 'The Mythical Man-Month' to 'Staff Engineer'—and how these picks reveal engineering culture, expectations, and unwritten rules. They discuss a 2025 survey of 200 new-grad FAANG hires showing 78% received a recommended reading list within their first week, with top choices reflecting each company's philosophy. Luna shares how reading 'The Pragmatic Programmer' before her first Amazon internship shaped her code review habits, while Lucas breaks down the strategic reasoning behind the choices at Meta versus Netflix. They also talk about what happens when an engineer skips the reading and why these books are gateways to internal jargon and promotion track expectations. A practical episode for anyone preparing to join a big tech company or curious about how engineering culture is transmitted through a shared shelf.

#FAANG #FirstDayReading #EngineeringCulture #Google #Meta #Amazon #Netflix #TheMythicalManMonth #ThePragmaticProgrammer #StaffEngineer #TechCareer #EngineeringBooks #NewGrad #TechCulture #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechCareerPodcast

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Lucas and Luna break down the often-overlooked take-home engineering assignment used by FAANG companies like Meta and Apple. They walk through a real example: a candidate who spent 30 hours on a design doc and code submission but failed because they didn't read the spec closely. Lucas explains the three-part framework—requirements, architecture, implementation—and shares the exact checklist that turned a rejection into an offer. Luna adds tips on time-boxing and writing a compelling README. They also discuss why many strong coders fail the take-home: it tests communication, not just algorithms. Plus, a short conversation about how listener support keeps the show ad-free. Perfect for engineers prepping for FAANG-level roles in 2026.

#FAANG #TakeHomeAssignment #EngineeringInterview #TechCareer #Meta #Apple #SystemDesign #CodingInterview #InterviewPrep #CareerStrategy #SoftwareEngineering #JobSearch #TechJobs #LucasAndLuna #FexingoBusiness #BusinessPodcast #Technology #Episode11

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In this episode of The Tech Career Podcast, Lucas and Luna explore the fast-growing alternative route into Big Tech engineering: apprenticeships. They break down what a FAANG engineering apprenticeship actually is, how it differs from a traditional internship or new-grad role, and what the interview process looks like — including real examples from Amazon's Apprenticeship Program and a specific coding challenge Lucas encountered as a mock interviewer. The hosts discuss who these programs are designed for (career-changers, bootcamp grads, self-taught coders without CS degrees) and share practical strategies for preparing, from LeetCode patterns to system-design fundamentals. They also address common misconceptions, like whether apprentices are treated as 'second-class engineers' or whether the pay is livable. By the end, listeners will have a concrete, five-step preparation plan and know exactly where to find application links. The episode closes with a sincere, low-key reminder that listener support on Buy Me a Coffee keeps the podcast ad-free.

#FAANG #TechApprenticeship #EngineeringJobs #AmazonApprenticeship #GoogleApprenticeship #MicrosoftApprenticeship #CareerChange #SelfTaughtDeveloper #CodingInterview #LeetCode #SystemDesign #BootcampGraduate #NoDegree #BigTechCareer #TechCareerPodcast #FexingoTech #FexingoBusiness #BusinessPodcast

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Lucas and Luna dive into what makes a system design interview different in 2026, using the example of designing a real-time ride-sharing platform. Lucas explains the shift from scaling monolithic apps to event-driven microservices, and why distributed caching matters more than ever. Luna challenges common prep advice, asking whether memorizing patterns still works. They walk through the five-step framework Lucas recommends: functional requirements, non-functional requirements, core design, deep dive, and trade-offs. The episode includes a specific technique for handling data consistency across distributed systems, referencing how Uber and DoorDash approach similar problems. Lucas warns against over-engineering and emphasizes the value of clear communication over perfect design. The conversation closes on whether mock interviews with strangers are worth the investment.

#SystemDesign #FAANG #TechInterviews #EngineeringCareer #DistributedSystems #CodingInterview #SoftwareEngineering #RideSharingDesign #Microservices #TechCareer #InterviewPrep #LucasAndLuna #FexingoBusiness #BusinessPodcast #Technology #CareerStrategy #SystemDesignInterview #2026InterviewTips

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Lucas and Luna dive into a hidden reason many engineers get rejected at FAANG interviews: a mismatch between the resume and the interview narrative. Using a real case of a backend engineer with six years of experience who got no callbacks despite strong coding skills, Lucas explains how recruiters and interviewers use the resume to frame your performance. The episode breaks down the 'resume-interview gap' — when projects listed on paper don't match the story you tell in system design or behavioral rounds — and how one engineer fixed it by rewriting their resume to emphasize one core competency. Luna adds data on how long recruiters scan a resume (7.4 seconds on average) and why every bullet point needs a 'for example' ready. No fluff — one concrete fix you can apply before your next FAANG application.

#FAANG #TechCareer #ResumeTips #InterviewPrep #EngineeringJobs #LucasAndLuna #FexingoBusiness #BusinessPodcast #FAANGInterview #SystemDesign #BehavioralInterview #CodingInterview #RecruiterTips #ResumeWriting #CareerStrategy #BackendEngineer #InterviewNarrative #TechJobs

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Lucas and Luna break down how FAANG recruiters actually screen engineering resumes in 2026. Drawing from leaked internal guidelines and interviews with former recruiters at Google and Meta, they reveal why the standard advice is often wrong: nobody reads your objective statement, the GPA cutoff is lower than you think, and the order of your bullet points matters more than the content. They walk through a concrete before-and-after resume rewrite for a mid-career engineer targeting a senior role at Amazon, explaining why 'reduced latency by 40%' is weaker than 'saved $2.4M annually in compute costs.' They also discuss the rise of automated resume parsers and what keywords actually trigger a human review. If you are preparing for a FAANG technical interview, this episode gives you the filter your resume will face before a person ever sees it.

#FAANG #TechResume #EngineeringCareers #Google #Meta #Amazon #ResumeTips #Recruiting #HiringProcess #ATS #KeywordOptimization #SeniorEngineer #TechInterviews #CareerStrategy #ResumeRewrite #Technology #FexingoBusiness #BusinessPodcast

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Lucas and Luna break down the practical steps for preparing for FAANG coding interviews in 2026, focusing on the 5-step framework used by a recent Amazon hire. They discuss data structures and algorithms study plans, the role of mock interviews, and how to balance LeetCode practice with system design. Specific tips include targeting 150 LeetCode problems, focusing on medium difficulty, and using the 'Pramp' platform for free mock interviews. They also cover how to handle behavioral questions using the STAR method and how to leverage your network for referrals. This episode is packed with actionable advice for engineers targeting top tech companies.

#CodingInterview #FAANG #TechCareer #LeetCode #SystemDesign #BehavioralInterview #Amazon #Google #Meta #EngineeringJobs #InterviewPrep #Technology #CareerAdvice #Hiring #SoftwareEngineering #MockInterview #FexingoBusiness #BusinessPodcast

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Episode 5 of The Tech Career Podcast with Fexingo dives into the most underrated part of FAANG engineering interviews: the behavioral round. Lucas and Luna break down the STAR method with a concrete example — how one candidate turned a failed project into a story about learning velocity. They discuss why Amazon's Leadership Principles matter more than LeetCode, how to structure answers for 6-minute slots, and the one mistake that kills 40% of candidates. No fluff, just a specific framework you can practice today. If you're prepping for Google, Meta, Apple, or any big tech company, this episode gives you the script for the part most engineers ignore until it's too late.

#FAANG #TechInterview #BehavioralInterview #STARMethod #EngineeringCareer #AmazonLeadershipPrinciples #GoogleInterview #MetaInterview #AppleInterview #SystemDesign #LeetCode #InterviewPrep #CareerStrategy #TechJobs #SoftwareEngineer #FexingoBusiness #BusinessPodcast #TechCareerPodcast

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