About this role.
This role at Nebius focuses on building software and tooling to automate and operate network infrastructure for a growing AI cloud platform. Responsibilities include developing services for network provisioning, CI/CD workflows, observability, and integrating network systems with the cloud platform. The ideal candidate has 5+ years of software engineering experience, strong Go or Python skills, and a genuine interest in infrastructure or networking, though deep network expertise is not required. The position offers competitive compensation, a fast-paced and collaborative environment, and the opportunity to make a significant impact on AI infrastructure. This is a senior role that also involves mentoring, architectural design, and contributing to hiring.
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Cover letter sample
Dear Hiring Manager,
I am writing to express my strong interest in the Software Engineer in Network Infrastructure position at Nebius. With over 5 years of experience building reliable software services and a deep passion for infrastructure automation, I am excited about the opportunity to contribute to Nebius's AI cloud platform.
In my previous role, I developed CI/CD pipelines and automation tooling that significantly improved operational efficiency. I am proficient in Go and Python, and I have hands-on experience working with network systems and observability frameworks. I am particularly drawn to Nebius's mission of making network operations safe, scalable, and 'boring,' and I am eager to bring my engineering skills to your innovative team.
Thank you for your consideration. I look forward to discussing how my background and energy can support the future of AI infrastructure at Nebius.
Sincerely, [Your Name]
Sample interview questions
I led a project to automate network device provisioning. I designed a service using Go with a clear API, implemented robust error handling and rollback mechanisms, and integrated it with our CI/CD pipeline for staged rollouts. I also set up monitoring and alerting to detect issues early and ensure reliability.
I would implement a service with a source-of-truth model, generate diffs, and use a CI/CD pipeline with staged rollouts: first to a canary site, then gradually expand. I would include automated verification and rollback triggers, along with an audit trail to ensure compliance and traceability.
I once debugged a network latency issue caused by a misconfigured switch. I gathered telemetry data, traced packets, and collaborated with network engineers to isolate the root cause. I then implemented a fix and added automated checks to prevent recurrence.
I follow test-driven development, write unit and integration tests, participate in thorough code reviews, and use static analysis tools. I also design for simplicity and maintainability, and I document architectural decisions to ensure clarity for future maintainers.
AI workloads place unique demands on network infrastructure, such as high throughput and low latency. I am excited by the challenge of building automation that makes this infrastructure reliable and scalable, and I am keen to work on technology that has real-world impact in the evolving AI landscape.
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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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