AI Observability Engineer
Tasks
- Build dashboards and monitoring using metrics and logs
- Collaborate to improve reliability and operational maturity
- Configure AI tracing systems for latency and token usage
- Create telemetry pipelines and operational insights
- Define monitoring strategies for logs metrics traces and alerting
- Design and operate observability solutions for AI workloads
- Develop Python tooling for instrumentation and data collection
- Maintain infrastructure as code and observability CI CD pipelines
- Support incident investigations and root cause analysis
Perks/Benefits
- Career development
- Continuous learning
- Flexible working environment
- International collaboration
- Ownership and autonomy
Skills/Tech-stack
AKS | Alerting | Application Insights | Azure Monitor | CI/CD | FinOps | Grafana | Kubernetes | Kusto Query | Kusto Query Language | LLM monitoring | Log Analytics | Machine Learning | Managed Grafana | OpenTelemetry | PromQL | Prometheus | Python | Query Language | SLI | SLO | Terraform
Education
N/A
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