Today, we’re diving into one of the most transformative shifts happening in technology right now — the rise of platform engineering and its intersection with AI-powered DevOps.

For years, organizations have struggled with fragmented tooling, slow software delivery cycles, and growing infrastructure complexity. Cloud gave us scale. DevOps gave us velocity. But together, they also introduced a new challenge: how do we build systems that are fast, secure, reliable, and scalable without overwhelming engineering teams?

Enter platform engineering, a discipline focused on creating consistent, automated, self-service platforms that empower developers, reduce operational friction, and improve delivery speed.

With AI rapidly reshaping how we build and run software, platform engineering is taking center stage. Machine learning models are automating decision-making, copilots are supporting developers, and AI-driven observability is changing how we detect and resolve issues.

Which skills matter most, how AI and DevOps are converging, and why every modern organization needs to rethink how it builds and supports. The organizations that build strong internal platforms today will be the ones ready for AI-powered automation tomorrow.

In this episode, we sit down with a platform engineering expert to discuss how this role is evolving, what skills matter most, how AI and DevOps are converging, and why every modern organization — from startups to global enterprises — needs to rethink how they build and support engineering teams.

Whether you're a CIO, an engineering leader, a procurement professional evaluating technology partnerships, or simply curious about the future of enterprise technology, this conversation will give you a front-row seat to where the industry is heading — and why platform engineering is becoming a strategic advantage.

Let’s jump in.