Strategic Overview
Software Engineer in Hardware Infrastructure Observability at Nebius is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems.
The role is listed for Europe with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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
- 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
Required Qualifications & Candidate Blueprint
- Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
- Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
- Ability to write reliable code and and dig into complex problems
- Solid understanding of modern server architecture, and its components
- Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
- Good knowledge of computer networks
Preferred Qualifications
- Solid understanding of modern server architecture, and its components
- Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
- Good knowledge of computer networks
- Experience designing, developing, and running high-load distributed systems
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- 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
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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
- 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
It will be an added bonus if you have:
- Solid understanding of modern server architecture, and its components
- Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
- Good knowledge of computer networks
- Experience designing, developing, and running high-load distributed systems
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems — rather than a generic title alone.
Resume & Application Strategy
For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.