Network Engineer

About Telnyx

Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.

Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

The Role

We're hiring a Network Engineer to join the Core Network Squad and own the production side of our global IP backbone. You'll take pre-prod handoffs from the AI Networking Squad, turn new PoPs into live production sites, and run the day-to-day of our backbone — BGP, IS-IS/OSPF, MPLS, peering, transit, and capacity. This is a hands-on engineering role on the inside of one of the more interesting global SP networks out there.

This is also an AI-native role. The AI Networking Squad is driving an aggressive automation roadmap and we expect every engineer to push it forward — building tooling, agents, and workflows that take toil out of the network. Surface-level ChatGPT usage is not what we mean. We want engineers who are already shipping AI-built tools today.

Primary — Core network production & day-to-day (70%)

Take pre-prod handoffs from the AI Networking Squad and bring new PoPs into production — peering up, route policy, validation, and cutover

Own and operate the backbone: BGP (eBGP/iBGP, communities, route reflection, traffic engineering), IS-IS or OSPF, MPLS, Segment Routing, and EVPN where applicable

Manage transit and peering — Tier 1 relationships, IX sessions, prefix filtering, RPKI, route optimization

Run capacity expansions — new ports, additional transit/transport circuits, link upgrades, optics swaps

Troubleshoot production issues — packet captures, route analysis, transport diagnostics — and drive post-incident fixes

Partner with the AI Networking Squad on automation: contribute to config generation, validation pipelines, network state checks, and agentic workflows

Secondary — Engineering projects & architecture (30%)

Support architecture, scaling, and integration initiatives across the backbone

Help roll out new services and features alongside Core Network and product engineering teams

Contribute to improvement work: protocol tuning, observability, automation coverage, hardening

What We're Looking For

Must-Have

3–5 years of hands-on network engineering experience in a service provider, carrier, CDN, hyperscaler, or large-scale SP-style enterprise backbone

Deep BGP — eBGP and iBGP, communities, local-pref / MED, route reflection, traffic engineering, dampening, RPKI; comfortable designing and debugging policy at scale

IGP fluency — IS-IS or OSPF, including multi-area design and convergence behavior

MPLS and Segment Routing — LDP, RSVP-TE, SR-MPLS / SRv6 awareness; familiarity with L3VPNs and EVPN/VXLAN

Hands-on CLI on at least one of Juniper (Junos), Cisco (IOS-XR / NX-OS), Arista (EOS), Nokia (SR OS), or equivalent — including config, troubleshooting, and upgrades on production gear

Transit, peering, and IX experience — how to bring up sessions, structure policy, and tune the routing table for performance and cost

Optics and transport — knowledge of grey/coloured optics, DWDM basics, transport circuits, and how the physical layer feeds the routing layer

Solid Linux fundamentals and a scripting language (Python preferred) — you're comfortable on the box, not just on the CLI

AI-first mindset (required) — demonstrated experience building workflows, automations, or tools with AI (prompt engineering, AI-assisted coding, agentic frameworks). Concrete artifacts beat claims. AI adoption and tool-building is a key component of long-term performance evaluation in this role

Strong written communication — clear runbooks, RFC-style proposals, incident write-ups, and async updates

Nice-to-Have

Network automation experience — Ansible, NAPALM, Nornir, Netbox, or similar

Hands-on with infrastructure-as-code for network (YANG/NETCONF, gNMI, Terraform providers for network gear)

Network validation and turn-up tooling (batfish, suzieq, custom validators)

Out-of-band / console infrastructure (serial console servers, OpenGear, etc.)

Experience with observability stacks for networks — streaming telemetry, Prometheus/Grafana, flow analytics

CCIE / JNCIE / equivalent senior cert, or evidence of equivalent depth without the cert

What Success Looks Like

Production deployments land cleanly — pre-prod handoffs become live PoPs without rework

The backbone runs hot but stable — your changes don't cause incidents, and your incident write-ups make the network better

Peering and transit policy is tight, measurable, and improving — cost down, performance up

You're shipping automation that the rest of the team adopts — not just running CLI

Anyone on the squad can pick up your work because your docs, configs, and PRs explain themselves

#LI-REMOTE