[Hiring] Software Engineer in Network Infrastructure @Nebius

Role Description

We’re looking for a Software Engineer to build software that makes network operations safe, scalable, and boring — even as we launch new data centers and expand fast. This is not a “write scripts for configs” role: you’ll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn’t.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.