AI Observability Engineer — Build AI Platform Telemetry

Nebius

Amsterdam

On-site

EUR 90,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation

Career growth

Flexibility and ownership

Collaborative culture

Impactful AI projects

International environment

Job summary

Nebius in Amsterdam is building a high-performance AI cloud platform, and we are seeking an AI Observability Engineer to own the observability backbone—from tracing to platform metrics—so the Azure stack is visible, measurable, and reliable.

You will stand up monitoring with Langfuse, design Grafana dashboards, maintain Terraform IaC, and contribute Python tooling. English fluency and 5–8 years in SRE/DevOps are required; experience with Azure Monitor and Prometheus is essential.

Qualifications

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

Responsibilities

Stand up and operate LLM and agent monitoring with Langfuse.
Capture traces, latency, token usage, cost, quality scores, and analytics.
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 into the Platform Engineering backlog.
Own Terraform IaC and CI/CD for observability tooling.
Support incident investigation and root-cause analysis.