What Most Engineers Get Wrong About AI and Career | Kelsey Hightower

I sat down with Kelsey Hightower—the engineer who helped build Kubernetes, reached the top at Google as a Distinguished Engineer, and walked away from it all in 2023 when he retired at age 42 to ask bigger questions about technology and what really matters. 𝗕𝗲𝗰𝗼𝗺𝗲 𝗳𝘂𝘁𝘂𝗿𝗲-𝗽𝗿𝗼𝗼𝗳: ► Grab your DevOps Career Guide: https://bit.ly/4qvUMvV ► Fast track from Zero to DevOps expert: https://bit.ly/4bJzd6r ▬▬▬▬▬▬ 𝗧𝗵𝗮𝗻𝗸𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗣𝗹𝗮𝗻𝗲 𝗳𝗼𝗿 𝗺𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲! 🙌 ▬▬▬▬▬▬ 👉 Control Plane provides a unified platform to deploy, secure, and manage your entire multi-cloud infrastructure from one place. 👉 Check them out for a 30-day free trial: https://controlplane.com/ This isn't your typical tech interview. It's about the patterns we keep repeating—the complexity trap we fell into with Kubernetes, the same mistakes happening now with AI, and the choices that separate engineers who adapt from those who get left behind. Kelsey shares the learning approach that took him to Google's highest engineering level, the hard truth about letting go of ego after retiring, and why the DeepSeek breakthrough proves we have more control over AI than the hype wants us to believe. From a $35 book and working fast food to building his career on his own terms at the highest level—his path breaks all the rules and shows what's actually possible. This conversation will change how you think about AI, your career, and building things that last. Whether you're worried about your job, stuck in your learning, or trying to figure out what's next—Kelsey's perspective cuts through all the noise. We cover: ◼️ Why the mistakes engineers made with Kubernetes are happening again with AI ◼️ What actually works in production (hint: simpler than you think) ◼️ Kelsey's career path from a $35 certification book to Google's highest engineering level ◼️ The learning method that made him irreplaceable ◼️ Why DeepSeek changed everything about AI's