Job Description & Details
This role isn't about configuring routers all day; it's about looking at massive traffic flows and predicting when your infrastructure is going to hit a wall before it actually happens. You will sit inside an Agile provisioning squad, acting as the bridge between raw data modeling and the hard engineering realities of keeping enterprise traffic moving smoothly.
What You'll Actually Be Doing
You'll spend a solid chunk of your time buried in traffic data, building monthly capacity reviews, and modeling out where future bottlenecks are going to form. Your days will involve staring down complex datasets, translating those charts into actual business risk, and jumping into cross-functional syncs with engineering teams to argue for infrastructure changes before things break. If you like turning abstract numbers into concrete architectural decisions, this is your playground.
The Core Tech Stack
You need a deep, intuitive grasp of networking fundamentals, traffic analysis, and heavy data modeling. The team relies heavily on your ability to ingest sprawling monitoring logs, extract trends, and use capacity planning methodologies to forecast growth. Knowing your way around standard enterprise network monitoring tools is non-negotiable because you'll be expected to turn their telemetry into bulletproof executive reports.
Interview Expectations
Expect them to throw a messy traffic growth scenario at you and ask how you would model it with incomplete data. The hiring manager isn't just looking for the math; they want to see how you communicate risk to non-technical stakeholders without causing a panic. You should also be ready to explain a time when you completely miscalculated a capacity forecast and what telemetry blind spots taught you for the next iteration.
Application Advice
Skip the generic resume buzzwords and put your actual data modeling and network traffic analysis projects right at the top. Make sure to weave in keywords like capacity planning methodologies, dataset modeling, and cross-functional Agile collaboration so you easily clear their automated ATS filters. Show them you know how to talk to both the data engineers crunching the metrics and the business leaders paying for the hardware.