Software Engineer in Network Infrastructure

• 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 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

• 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)
• 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, Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

• 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 - Opportunity to shape the future of AI

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.