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The Real Cloud Roadmap in 2026 (Linux → AWS → Terraform → DevOps)
WORK WITH US / JOIN THE COMMUNITY
Broadus runs Level Up In Tech, and I’m also part of the community helping with career coaching. If you’re serious about breaking into cloud and want structured guidance, check out Level Up In Tech.
https://www.skool.com/luit-academy/about?ref=674cbede79de482fa76b88623c0cf89e
Cloud careers are still some of the highest-paying and most flexible paths in tech — but most people don’t actually understand what a cloud engineer does day-to-day, what to learn first, or how to stand out in the 2026 job market.
In this episode of the Tech Jobber Podcast, I’m joined by Broadus Palmer, founder of Level Up In Tech, who has helped thousands of people break into cloud and level up their careers. We break down cloud roles in plain English, share a real beginner roadmap, and talk about what matters most now: projects, business impact, and the ability to explain what you built — not just collecting certifications.
IN THIS INTERVIEW, WE COVER:
✅ What a cloud engineer actually does (build, deploy, monitor, secure)
✅ The best cloud learning path for beginners (step-by-step progression)
✅ Linux fundamentals: why Linux is still the core skill for cloud careers
✅ AWS vs Azure vs GCP: which cloud provider should you learn first?
✅ Why big companies use multi-cloud (AWS + Azure + GCP)
✅ Cloud Engineer vs Cloud Solutions Architect (key differences)
✅ Cloud Data Engineer vs Data Engineer (what changes, what doesn’t)
✅ Entry-level cloud jobs in 2026: what hiring managers want now
✅ How to talk about projects using the SORT framework
✅ The truth about cloud certifications (what’s worth it and what’s not)
✅ Where cloud careers can lead: DevOps, SRE, Platform, Security, FinOps, Data
If you’re trying to land your first cloud job (or you’re already in IT and want to move into cloud), this episode will help you stop guessing and start following a real roadmap.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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By Chris SchwenkWORK WITH US / JOIN THE COMMUNITY
Broadus runs Level Up In Tech, and I’m also part of the community helping with career coaching. If you’re serious about breaking into cloud and want structured guidance, check out Level Up In Tech.
https://www.skool.com/luit-academy/about?ref=674cbede79de482fa76b88623c0cf89e
Cloud careers are still some of the highest-paying and most flexible paths in tech — but most people don’t actually understand what a cloud engineer does day-to-day, what to learn first, or how to stand out in the 2026 job market.
In this episode of the Tech Jobber Podcast, I’m joined by Broadus Palmer, founder of Level Up In Tech, who has helped thousands of people break into cloud and level up their careers. We break down cloud roles in plain English, share a real beginner roadmap, and talk about what matters most now: projects, business impact, and the ability to explain what you built — not just collecting certifications.
IN THIS INTERVIEW, WE COVER:
✅ What a cloud engineer actually does (build, deploy, monitor, secure)
✅ The best cloud learning path for beginners (step-by-step progression)
✅ Linux fundamentals: why Linux is still the core skill for cloud careers
✅ AWS vs Azure vs GCP: which cloud provider should you learn first?
✅ Why big companies use multi-cloud (AWS + Azure + GCP)
✅ Cloud Engineer vs Cloud Solutions Architect (key differences)
✅ Cloud Data Engineer vs Data Engineer (what changes, what doesn’t)
✅ Entry-level cloud jobs in 2026: what hiring managers want now
✅ How to talk about projects using the SORT framework
✅ The truth about cloud certifications (what’s worth it and what’s not)
✅ Where cloud careers can lead: DevOps, SRE, Platform, Security, FinOps, Data
If you’re trying to land your first cloud job (or you’re already in IT and want to move into cloud), this episode will help you stop guessing and start following a real roadmap.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.