Software Engineer in Network Infrastructure

🏢 Nebius · all Nebius jobs
📍 Netherlands
📅 Posted 2026-08-03 · via Himalayas
🏷 Network-Infrastructure,Network-Engineer,Platform-Engineering,DevOps,Network-Software-Engineer,Network-Infrastructure-Engineer,Infrastructure-Software-Engineer,Data-Center-Network-Software-Engineer,Network-And-Infrastructure-Engineer,Senior-Network-Software-Engineer,Software-Engineer
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About Nebius :

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The Role

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.
Your responsibilities will include:

- 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

We expect you to have:

- 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)

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You don’t have to be Network expert but we expect you to have interest in infrastructure and/or network

It will be an added bonus if you have:

- 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

We expect Engineers to:

- Manage large-scale projects involving multiple stakeholders

- Break down complex tasks and guide both their own work and that of more junior colleagues

- Be experts in specific technologies and write high-quality code that can serve as a reference

- Assess task priority and focus on high-impact work, avoiding low-value efforts

- Have strong architectural thinking and contribute to system design

- Be involved in hiring and actively contribute to interviews

- Be willing to share knowledge and mentor others

Benefits & Perks:

- 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

What's it like to work at Nebius :

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Op

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