[All remote jobs](https://jobicy.com/jobs.md)[![Nebius logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/d90c0566-221.webp)](https://jobicy.com/company/nebius.md)[Nebius](https://jobicy.com/company/nebius.md) # Software Engineer in Hardware Infrastructure Observability Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished2 Nov 2026Apply before2 Dec 2026Listing views56Application actions5Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Nebius is seeking a Senior Software Engineer to build observability, maintenance, and remediation systems for large-scale data center infrastructure. The role focuses on developing low-level server monitoring services and agents, improving metrics, aggregation, and alerting pipelines, and resolving fleet reliability issues. The engineer will work closely with hardware, networking, and data center operations teams while owning projects from requirements through production reliability. Strong Python or Go, Linux expertise, distributed-systems experience, and the ability to mentor engineers are central to success. This is a senior, hands-on infrastructure engineering role in a fast-moving AI cloud environment. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires deep hands-on troubleshooting across Linux hosts, server hardware, monitoring systems, and distributed infrastructure at fleet scale. It also carries senior-level ownership for architecture, prioritization, mentoring, and cross-functional delivery. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$165,000US market range (per year)$135k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD figures are inferred estimates for a senior infrastructure observability software engineer in the US market and are not verified employer compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Python](https://jobicy.com/jobs?search_keywords=Python.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Linux](https://jobicy.com/jobs?search_keywords=Linux.md)[Infrastructure observability](https://jobicy.com/jobs?search_keywords=Infrastructure%20observability.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[VictoriaMetrics](https://jobicy.com/jobs?search_keywords=VictoriaMetrics.md)[Monitoring and alerting](https://jobicy.com/jobs?search_keywords=Monitoring%20and%20alerting.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Server architecture](https://jobicy.com/jobs?search_keywords=Server%20architecture.md)[Computer networking](https://jobicy.com/jobs?search_keywords=Computer%20networking.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[Root cause analysis](https://jobicy.com/jobs?search_keywords=Root%20cause%20analysis.md)[Automation](https://jobicy.com/jobs?search_keywords=Automation.md)[Systems design](https://jobicy.com/jobs?search_keywords=Systems%20design.md)[Mentoring](https://jobicy.com/jobs?search_keywords=Mentoring.md) Sample interview questionsHow would you design an observability agent for a large and heterogeneous server fleet?I would define a stable metric and event contract, collect host and hardware signals with low overhead, and make collection resilient to partial failures. The agent should buffer safely, expose its own health metrics, support controlled configuration rollout, and use labels carefully to avoid excessive metric cardinality. Describe how you would investigate a sudden increase in hardware-related alerts across multiple data centers. I would first validate whether the increase reflects a real condition or a telemetry, threshold, or aggregation issue. I would correlate affected hosts by hardware model, firmware, location, deployment changes, and network path, then inspect representative hosts directly and coordinate with data center and hardware teams to isolate the root cause and implement a durable fix. What approaches do you use to improve alert quality in a Prometheus-compatible monitoring system? I start by linking alerts to actionable failure modes and measuring false-positive, duplicate, and unactioned alert rates. I use appropriate aggregation, sustained-for durations, dependency-aware inhibition, severity definitions, runbooks, and regular post-incident reviews to keep alerts meaningful. How would you safely roll out a maintenance workflow that changes configuration across an entire fleet? I would implement idempotent operations, preflight checks, explicit rollback paths, rate limiting, and detailed audit logging. The rollout would begin with a small canary group, use health gates between stages, automatically halt on defined error thresholds, and provide operators with clear status and recovery controls. How do you balance urgent incident work with longer-term reliability engineering? I prioritize immediate mitigation to restore service, but capture evidence and create follow-up work before closing the incident. I use impact, recurrence risk, and engineering cost to prioritize root-cause fixes, ensuring that recurring operational toil is converted into automation or platform improvements. 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 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. Show more [Apply now >](https://jobicy.com/jobs/158526-software-engineer-in-hardware-infrastructure-observability.md) > Annual salary information is not provided for this position. 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