Logo for Nebius Group

AI Observability Engineer

Role overview

Qualifications

  • 5–8 years of experience in observability, SRE, platform engineering, DevOps, or cloud engineering
  • Strong experience with Azure Monitor, Application Insights, Log Analytics, and Managed Grafana
  • Hands-on experience with Langfuse, Grafana, and Prometheus
  • Python skills for instrumentation, exporters, and automation

Responsibilities

  • Stand up and operate LLM and agent monitoring with Langfuse
  • Capture traces, latency, token usage, cost, quality scores, prompt and model-version analytics, and safety signals
  • Build lightweight internal tooling and exporters in Python
  • Design and maintain Grafana dashboards, Prometheus metrics, and the Azure observability stack

About the company

Nebius Group logo

Nebius Group

Cloud Computing & Infrastructure (IaaS/PaaS)

Nebius Group is building one of the largest commercially available AI infrastructure businesses, based in Europe. Our core business is an AI-centric cloud platform built for intensive AI workloads. We are building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our headquarters and main R&D presence is in Amsterdam, with additional R&D and commercial hubs in Europe, North America and Israel. Our businesses operate and serve customers on four continents. Our name reflects our mission and values as a company. Combining nebula, the Latin word for cloud, with a reference to the endless MΓΆbius strip, the name Nebius embodies our belief in the endless possibilities offered by cloud technologies. In addition to our core AI infrastructure business, we are developing three other businesses that operate under their own distinctive individual brands: β€’ Toloka AI – a data partner for all stages of AI development from training to evaluation; β€’ TripleTen – a leading edtech player in the US and certain other markets, re-skilling people for careers in tech; β€’ Avride – one of the most experienced teams developing autonomous driving technology for self-driving cars and delivery robots. The group is led by Arkady Volozh, the entrepreneur and visionary co-founder of Yandex.

Company details

IndustryCloud Computing & Infrastructure (IaaS/PaaS)
Company size1001 - 5000

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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 is building a high-performance AI cloud platform, and we are looking for an AI Observability Engineer to own the AI observability backboneβ€”from LLM and agent tracing to platform and infrastructure metricsβ€”so the Azure AI platform is visible, measurable, reliable, and self-service.

Your responsibilities: 

  • Stand up and operate LLM and agent monitoring with Langfuse.
  • Capture traces, latency, token usage, cost, quality scores, prompt and model-version analytics, and safety signals.
  • Build lightweight internal tooling and exporters in Python.
  • Design and maintain Grafana dashboards, Prometheus metrics, and the Azure observability stack.
  • Instrument platform and AI workloads for health, usage, cost, and SLA reporting.
  • Feed telemetry and operational insights into the Platform Engineering backlog.
  • Own Terraform IaC and CI/CD for observability tooling.
  • Support incident investigation and root-cause analysis.

Must-haves: 

  • 5–8 years of experience in observability, SRE, platform engineering, DevOps, or cloud engineering.
  • Strong experience with Azure Monitor, Application Insights, Log Analytics, and Managed Grafana.
  • Hands-on experience with Langfuse, Grafana, and Prometheus.
  • Experience with Terraform and CI/CD.
  • Python skills for instrumentation, exporters, and automation.
  • Familiarity with ML workloads and AI-specific metrics.
  • Knowledge of logs, metrics, traces, dashboards, alerting, SLIs, and SLOs.
  • Intermediate or higher English.

Nice-to-haves: 

  • PromQL and Kusto Query Language.
  • OpenTelemetry, including GenAI semantic conventions.
  • LLM evaluation frameworks.
  • AI cost dashboards and FinOps.
  • Alerting, on-call, and incident management tooling.
  • AKS and Kubernetes observability.

 

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 once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
Β·

Artificial Intelligence Engineer Related jobs

Other jobs at Nebius Group

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.