Staff Network Software Engineer

Nebius

10h•$179,500 - $224,300

About The Position

Nebius is seeking a Network Software Engineer (NetSWE) to develop software that ensures network operations are safe, scalable, and reliable, even during rapid expansion and new data center launches. This role involves building tooling and services that bridge the gap between the network core (switches, ports, VLANs, traffic processors) and the cloud platform. The position requires using open-source solutions where appropriate and developing new solutions for any gaps. The company, Nebius, is a leader in cloud infrastructure for the global AI economy, offering a full-stack AI cloud platform from data and model training to production deployment. They are listed on Nasdaq (NBIS) and headquartered in Amsterdam, with a global presence and a team of over 1,500 employees, including many engineers with expertise in hardware, software, and AI R&D.

Requirements

5+ years of professional software engineering experience (or equivalent practical background).
Strong coding skills and ownership mindset: you can ship and operate reliable services.
Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes).
Interest in infrastructure and/or network.

Nice To Haves

Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast.
Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or “network-as-code” style workflows.
Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems.
Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection).
Contributions to open source or experience extending/debugging OSS components in production environments.

Responsibilities

Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification.
Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails.
Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations.
Close “last mile” gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it.
Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling.