LOZDev

Developer Operations

The CI/CD Pipeline

Teamwork Makes the Dream Work

Dev

Dev in DevOps goes beyond just writing code—it’s about thoughtful planning, rigorous testing, and clean execution. You can build all the functions you want, but without proper linting, version control, and validation, you’re just throwing darts in the dark. Quality code is intentional code.

Ops

Ops in DevOps isn’t just about deploying code—it’s about owning the system. It means monitoring services, managing infrastructure, and deeply understanding how the app behaves in production. True Ops work ensures uptime, performance, and resilience across every layer of the stack.

Dev/ops isn't one or the other

DevOps isn’t a binary—it’s a continuum. It’s not about choosing between code and infrastructure, but about embracing both to deliver reliable, scalable software. The strongest engineers move fluidly between dev and ops, writing clean code while thinking about how it runs in the wild. That’s where I come in. I don’t just push features—I plan, test, deploy, monitor, and refine. My work lives in the pipeline, thrives in collaboration, and is driven by a deep respect for every layer of the stack.

Where I Fit in...

Being a full-stack developer, data engineer, and AI engineer gives me a unique edge in DevOps. I don’t just understand the surface of an application—I know how data flows, how models scale, and how services need to perform under real-world pressure. My full-stack background means I can jump from frontend bugs to backend bottlenecks without losing context. My data engineering experience helps me design systems that move and transform data reliably, with monitoring baked in. My AI work demands efficiency, reproducibility, and automation—skills that directly translate into robust CI/CD pipelines and infrastructure design. I bridge teams and technologies, turning complexity into clarity and ideas into action.