AI Observability Engineer
Tasks
- Build and maintain dashboards metrics and monitoring solutions
- Collaborate to improve reliability scalability and operational maturity
- Configure and maintain AI tracing systems
- Create telemetry pipelines and operational insights
- Define and improve monitoring strategies for logs metrics traces alerting SLIs and SLOs
- Design implement operate observability solutions for AI workloads
- Develop Python instrumentation and data collection tooling
- Instrument AI platforms for health usage performance cost and SLO visibility
- Maintain CI CD pipelines for observability tooling
- Manage infrastructure as code with Terraform
- Support incident investigations troubleshooting and root cause analysis
Perks/Benefits
- Career development
- Collaborative international team
- Continuous learning
- Flexible working environment
- Ownership and autonomy
Skills/Tech-stack
AKS | Alerting | Application Insights | Azure Monitor | CI/CD | Grafana | Grafana dashboards | Kubernetes | Kusto Query | Kusto Query Language | Log | Log Analytics | Machine Learning | Managed Grafana | Metrics | OpenTelemetry | OpenTelemetry semantic conventions | PromQL | Prometheus | Python | Query Language | SLI | SLO | Semantic Conventions | Telemetry pipelines | Terraform | Tracing
Education
N/A
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