Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Software Engineer in Hardware Infrastructure
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- Remote from
- Europe
- Salary
- Undisclosed
- Department
- Software Engineering
- Employment
- Full Time
- Experience
- Entry-Level, Junior
- Published
- Apply before
- 1 Dec 2026
- Listing views
- 25
- Application actions
- 2
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The role, at a glance.
Nebius is seeking a senior-level software engineer to build services and internal platforms that automate operations across a large server fleet. The role sits within the Hardware Automation team and covers the full engineering lifecycle, from gathering requirements with data-center and hardware teams to rollout and reliability. Candidates need at least five years of experience, strong Python or Go skills, and an interest in DevOps and distributed systems. The engineer will provide technical leadership through architecture, project delivery, mentoring, prioritization, and hiring participation. The remote hiring scope is Europe, with collaboration in an international AI-cloud infrastructure organization.
Role DNA
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Pace & Pressure
5/5Autonomy Level
5/5Communication Load
4/5Salary analysis
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Core skills
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Sample interview questions
I would begin by defining an authoritative inventory and a desired-state model, then use idempotent workflows so retries are safe. The service would apply changes in staged batches, validate health signals after each stage, and support automated rollback or quarantine for failed hosts. I would also include audit logs, role-based access, clear observability, and an approval path for high-risk changes.
I would explain the incident context, the customer or operational impact, and how I used metrics, logs, traces, and recent-change analysis to isolate the fault. My response would cover the immediate mitigation, the root cause, and durable follow-up work such as improved alerting, capacity safeguards, tests, or failure isolation. I would also describe how I communicated status and captured lessons learned.
I would consider operational requirements, team expertise, library maturity, performance needs, concurrency patterns, deployment model, and maintainability. Python is often excellent for integration-heavy automation and rapid development, while Go can be preferable for highly concurrent, self-contained, performance-sensitive services. The decision should prioritize reliability and long-term ownership rather than language preference alone.
I assess each request by production risk, customer impact, security implications, strategic value, dependencies, and engineering effort. I make the trade-offs visible, align priorities with stakeholders, and reserve capacity for reliability and technical-debt work. For ambiguous requests, I seek measurable outcomes before committing significant implementation effort.
I would clarify the component's operational goals and failure modes, break the work into appropriately scoped milestones, and pair on key design decisions. I would use code reviews to teach principles such as idempotency, testing, observability, and safe rollout practices rather than simply providing fixes. I would gradually increase ownership while ensuring appropriate safeguards for production changes.
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.
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.
Your responsibilities will be centered around the design and development of services that automate work of a large server fleet at scale.
We expect you to have:
- 5+ years of professional software engineering experience
- Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages
- Ability to write reliable code and dig into complex problems
- Strong interest in being engaged in DevOps processes
- 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
- Good knowledge of computer networks
- Experience designing, developing and running high-load distributed syste
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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