AI Observability Engineer
Tasks
- Build metrics dashboards
- Collaborate to improve reliability and scalability
- Configure AI tracing systems
- Define monitoring strategies for logs metrics traces
- Design observability solutions for AI workloads
- Develop Python instrumentation tooling
- Implement telemetry pipelines
- Instrument services for visibility
- Maintain CI/CD pipelines
- Manage infrastructure as code workflows
- Support incident investigations
Perks/Benefits
- Career development
- Flexible working environment
- International team collaboration
- Learning opportunities
- Ownership and autonomy
- Remote-friendly work options
Skills/Tech-stack
AKS | Alerting | Application Insights | Azure Monitor | CI/CD | FinOps | Grafana | Infrastructure as Code | Kubernetes | Kusto Query | Kusto Query Language | LLM monitoring | Log Analytics | Machine Learning | Managed Grafana | OpenTelemetry | PromQL | Prometheus | Python | Query Language | SLI/SLO | Telemetry pipelines | Terraform | “as-code”
Education
N/A
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