Nebius Logo

Nebius

Software Engineer in Hardware Infrastructure Observability

Reposted 2 Months Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Greece
Senior level
In-Office or Remote
Hiring Remotely in Greece
Senior level
Design and develop services for monitoring servers, improve metrics pipelines, automate maintenance workflows, and investigate incidents to ensure infrastructure reliability.
The summary above was generated by AI

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.

Similar Jobs

3 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Cybersecurity
Secure SEON’s cloud-based fraud-prevention platform through IAM hardening, infrastructure guardrails, detection engineering, incident response, vulnerability remediation, and threat modeling. Lead ISO 27001, ISO 42001, SOC 2, and PCI DSS assurance programs; automate evidence collection and access reviews; manage customer questionnaires, vendor reviews, policies, risk registers, and regulatory obligations.
Top Skills: Amazon EksAWSAws IamAws WafCi/CdCloudtrailGitGithub ActionsGuarddutyKubernetesKyvernoLinkerdPythonSecurity HubTerraform
3 Hours Ago
In-Office or Remote
Entry level
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads digital MVP development from investment approval through build, launch, user adoption, and stage-gate transition. Owns product vision, specifications, acceptance criteria, backlog prioritization, delivery planning, scope, risks, dependencies, and evidence-based decisions. Partners with users, engineers, scrum masters, architects, commercial leaders, and sponsors to validate hypotheses, estimate build costs, and deliver viable products.
3 Hours Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Owns the financial integrity and risk-return management of Pfizer’s International Commercial Digital and AI portfolio. The role evaluates business cases, defines KPIs and expected value, audits realized benefits, maintains the benefits ledger, assesses portfolio concentration and risk, runs allocation scenarios, and recommends capital reallocation or investment termination. It partners with measurement, finance, data, and governance teams while presenting evidence-based recommendations to senior Investment Committee stakeholders.
Top Skills: Competitive IntelligenceData ModelingFinancial ModelingKpi FrameworksPortfolio AnalyticsQuantitative Benchmarking

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account