Systems Engineer
Indexed description
Today, bandwidth is the most in-demand asset in the world, but its buy/sell process is highly fragmented and inefficiently priced. Share brings the supply and demand together by building distributed routing nodes and connecting carriers, ISPs, data centers, and enterprise buyers through a neutral exchange, turning bandwidth into a liquid, tradeable resource.
We're building the category-defining marketplace for how bandwidth gets bought, sold, and delivered globally.
The Role
Share's physical network runs on real infrastructure: servers, virtualization, firewalls, and the operating systems underneath everything the company runs, cloud-native or not. We're looking for a senior Systems Engineer to own that foundation, the traditional infrastructure layer that everything else still depends on, hardened and run the way a carrier-grade network demands.
This is the seat for someone who's spent years running production Linux, virtualized infrastructure, and the security perimeter around it at real scale (most likely inside a telco, ISP, or carrier-grade network operator) and who's now bringing that discipline into a more modern, cloud-first stack.
Our Ideal Candidate
- 7+ years of professional systems engineering experience, ideally including time inside a telco, ISP, or carrier-grade network operator.
- Deep, production Linux administration: you've built, hardened, and kept Linux systems running at real scale, not just deployed them from a template.
- Real virtualization depth: VMware, KVM, Hyper-V or similar, you're just as comfortable at the VM layer as you are one layer up.
- Genuine security ownership: perimeter security, firewalls, network segmentation, VPNs, intrusion detection. You've designed and defended a real security boundary, not just followed a checklist.
- Solid networking fundamentals: routing, switching, VLANs, DNS, load balancing, enough to hold your own with our network team, even if carrier-scale BGP isn't your specialty.
- Working knowledge of at least one hyperscaler (AWS, GCP, or Azure), you don't need to be cloud-native yet, but you're comfortable operating there.
- Kubernetes exposure.
- AI-native in your workflow: you've built with these tools, not just used them, and can show the leverage you've gained.
- You ship, and you drive. Handed an infrastructure or security problem, you scope it, build it, own it through production, and use what you've learned to push the department forward.
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