Nebius

Runs GPU clouds for AI training and deployment

Software Engineer in Network Infrastructure

Backend EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedRemote

About the Job

Requirements

Have 5 or more years of professional software engineering experience, or equivalent practical background.
Have strong coding skills and an ownership mindset, with the ability to ship and operate reliable services.
Be proficient in Go or willing to switch to Go; Python is also welcome, and other languages may be useful for open-source debugging or fixes.
Have an interest in infrastructure and/or networking; networking expertise is not required.

Responsibilities

Build and maintain services and tooling that automate the network lifecycle, including day-zero provisioning, day-N changes, drift detection, and operational verification.
Make network changes safe and transparent through CI/CD workflows, diff/review tooling, staged rollouts and rollbacks, audit trails, and guardrails.
Develop observability systems that scale across many sites, including telemetry pipelines, signal quality, and tooling that shortens incident investigations.
Close gaps between the network and the platform by integrating source-of-truth data, exposing APIs, and building reliable automation around it.
Collaborate with network engineers and site reliability engineers to turn operational pain into product-quality tooling.
Manage large-scale projects involving multiple stakeholders.
Break down complex tasks and guide personal work and the work of more junior colleagues.
Develop expertise 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.
Apply architectural thinking and contribute to system design.
Participate in hiring and contribute to interviews.
Share knowledge and mentor others.

Desired Qualifications

Have a networking background, such as former network engineering experience, CCNP or networking education, or data-center networking exposure; alternatively, have a strong interest in networking and a proven ability to learn quickly.
Have experience building automation or infrastructure tooling, such as CI/CD, infrastructure as code, testing/staging environments, or network-as-code workflows.
Have low-level networking or datapath experience, including eBPF/XDP, DPDK, kernel networking, or traffic processing systems.
Have experience designing high-load services and observability platforms, including metrics, logs, traces, alerting, or regression detection.
Have contributed to open source or extended/debugged open-source components in production environments.

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)
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 - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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.

If you need accommodations during the application process, please let us know.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Amsterdam, Netherlands
Founded: 1997

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