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Infrastructure Software Engineer

AI Summary
Nebius is hiring an Infrastructure Software Engineer to develop Python services and automation for large-scale bare-metal AI cloud infrastructure. The role focuses on hardware provisioning, lifecycle management, Linux integration, networking workflows, BMC interfaces, and CI/CD for production systems. The engineer will work across software, servers, networks, and data-center operations in a distributed team. This is a fully remote US position requiring strong ownership, troubleshooting ability, and clear technical communication. The stated base salary range is $150,000–$210,000 USD annually, with equity and quarterly performance bonuses mentioned separately.
Remote from
USA
Salary
USD 150k–210k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
7 Dec 2026
Listing views
36
Application actions
3
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Opportunity details

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 role

Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations.

You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready.

Your responsibilities will include:

  • Design and develop backend services and automation in Python
  • Build and maintain systems for hardware provisioning, testing, and lifecycle management
  • Develop software that runs directly on bare-metal environments
  • Integrate with Linux systems, using Bash and low-level tooling where needed
  • Implement and maintain CI/CD pipelines for infrastructure-focused software
  • Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows
  • Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards)
  • Enable reliable hardware interaction and automation across large fleets
  • Support ARM64 / ARM64EC architectures
  • Design and integrate NoSQL data stores for system state and orchestration data
  • Write clear documentation and contribute to operational excellence

What we expect you to have:

  • Strong professional experience as a software engineer, with a focus on Python
  • Solid experience with Linux systems and shell scripting
  • Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot)
  • Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs)
  • Familiarity with CI/CD systems and production deployment workflows
  • Experience designing or working with NoSQL databases
  • Ability to debug complex issues spanning software, hardware, and networks
  • Strong ownership mindset and clear communication skills in a distributed team

It will be an added bonus if you have:

  • Experience operating or building systems for large-scale infrastructure
  • Familiarity with ARM-based platforms in production environments
  • Background in hardware testing, validation, or factory provisioning
  • Experience with infrastructure automation or internal platform tooling
  • Contributions to open-source or internal systems software projects

Working conditions:

  • Fully remote position (United States)
  • Collaboration with globally distributed engineering and operations teams

Key employee benefits:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
  • 401(k) plan: up to 4% company match with immediate vesting
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
  • Remote work reimbursement: up to $85/month for mobile and internet
  • Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

  • We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation of
AI infrastructure.

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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightРабота требует глубокого практического опыта на стыке Python-разработки, Linux, сетей, физического серверного оборудования и автоматизации инфраструктуры. Инженеру необходимо самостоятельно диагностировать сложные инциденты, затрагивающие программные и аппаратные компоненты крупных кластеров.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$180,000
US market range (per year)$145k–$220k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Указан диапазон базовой годовой зарплаты $150,000–$210,000 USD; годовой период выведен по величине диапазона, уровню инженерной роли в США и формулировке о base pay. Медиана указанного диапазона составляет $180,000 в год. Оценочный рыночный диапазон для senior-level infrastructure/software engineering в США составляет $145,000–$220,000 в год; equity и квартальные бонусы не включены в базовую оплату.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a reliable bare-metal provisioning service for a large server fleet?

I would build an idempotent, API-driven workflow with explicit hardware states, durable state storage, validation at each transition, and safe retry mechanisms. The service would integrate inventory, BMC control, network boot, operating-system installation, post-install testing, and observability. I would also include audit logs, concurrency controls, and rollback or quarantine paths for failed machines.

How would you troubleshoot a server that fails to PXE boot during automated provisioning?

I would first verify physical link and switch-port status, VLAN assignment, DHCP relay configuration, and whether the server receives an IP address and boot options. Next, I would inspect DHCP, TFTP or HTTP boot, DNS, and network logs, while validating the boot image and architecture compatibility. I would compare the failed host with a known-good system and use BMC console access to identify firmware or boot-order issues.

What practices do you use to make Python automation safe for infrastructure operations?

I use typed interfaces, input validation, idempotent operations, bounded retries with backoff, structured logging, and clear error classification. I separate planning from execution where possible and add dry-run support for risky workflows. Comprehensive unit, integration, and hardware-in-the-loop testing help ensure automation behaves predictably under real operational conditions.

How would you model hardware lifecycle state in a NoSQL datastore?

I would define a machine record with a stable asset identifier, desired state, observed state, provisioning metadata, hardware facts, timestamps, and an event history. The design would support conditional updates or optimistic concurrency so multiple workers cannot apply conflicting actions. I would index common operational queries, such as machines by state, rack, model, provisioning job, or failure reason.

Describe how you collaborate with networking and data-center teams during a production incident.

I establish a shared incident timeline, communicate impact and hypotheses clearly, and assign owners for software, network, and hardware investigation tracks. I provide concrete evidence such as request IDs, device identifiers, logs, packet observations, and recent deployment changes. After mitigation, I help document root cause, corrective actions, monitoring improvements, and automation changes that reduce recurrence.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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