Automating the
Network, End to End
I work as a senior full-stack developer on a large-scale platform that automates the full lifecycle of telecom network equipment — planning it, provisioning it, configuring it, and keeping an accurate live picture of everything deployed in the field. The platform is going into production for AT&T, in partnership with a specialist network-software vendor.
Overview
The goal is to replace slow, manual, error-prone network operations with a system that lets engineers plan capacity, roll out changes, and track thousands of devices reliably at carrier scale. The platform is going into production for AT&T, in partnership with a specialist network-software vendor — and I’ve traveled specifically to support those production integrations and deployments, helping fix and report issues on the ground.
Read more about this project ↗The platform
It’s a cloud-native platform: a set of independent backend services communicating over well-defined contracts, backed by a relational database and long-running orchestrated workflows, all delivered on Kubernetes across multiple environments. The frontend is a modern React application with a component-driven design system.
My work centers on two areas.
Network visualization
Together with the team, I build interactive tooling that renders the network on a geographic map and as detailed equipment diagrams. Engineers can zoom into regions, see how sites connect, toggle layers, filter, and drill from a high-level route all the way down to individual cables and ports.
The tricky part is decoupling what the user selects from how the visualization reacts, so the experience stays fast and predictable even as the visuals get complex.
Network planning
We build the flow that turns a capacity request into a real, provisioned network change, orchestrating each stage from initial request through validation to final delivery. Because these operations are long-running, we design them as asynchronous workflows that kick off work and later reconcile the results, with statuses propagating automatically as each step completes.
What I’m taking from it
- Designing clean service boundaries and contract-first APIs
- Orchestrating long-running asynchronous processes reliably
- Building performant, data-heavy, highly interactive UIs
- Shipping continuously into a cloud environment with strong testing discipline
- Hands-on, on-site experience with real-world production integration at carrier scale