Software Engineer in Hardware Infrastructure Observability

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 team

The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability.

The Role

Nebius is looking for a Senior Software Engineer to join the Hardware Infrastructure Observability team. You're welcome to work from our office in Amsterdam. We build and run low-level monitoring for servers and data center engineering systems to ensure reliability at scale. We also design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep the infrastructure healthy.

Key Responsibilities:

Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems

Evolve our metrics/aggregation/alerting pipelines and improve signals quality

Build maintenance workflows and automation that keep fleets healthy

Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes

Collaborate with hardware, networking, and DC operations to improve reliability

We expect you to have:

5+ years of professional software engineering experience

Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages

Strong Linux fundamentals

Ability to write reliable code and and dig into complex problems

Working proficiency in English

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