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Observability Engineer – Grafana, Prometheus, Thanos
Job in
Chandler, Maricopa County, Arizona, 85249, USA
Listed on 2026-05-28
Listing for:
Veriipro
Full Time
position Listed on 2026-05-28
Job specializations:
-
IT/Tech
Cloud Computing, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Roles and Responsibilities
- Design and implement observability frameworks for ML/LLM applications
- Build telemetry for AI models including latency, token usage, throughput, error rates, and SLOs
- Develop and maintain self-service observability dashboards
- Monitor model performance, data drift, reliability, and cost metrics
- Create dashboards using Grafana and Tableau for operational insights
- Implement monitoring using Prometheus and Thanos for scalable metrics collection
- Analyze time-series data and build actionable visualizations.
- Partner with ML engineers and platform teams to improve system reliability
- Define and track SLOs for AI endpoints and services
- Enable end-to-end observability using metrics, logs, and traces
- Strong experience in Data Analysis and Visualization
- Hands-on experience with Grafana dashboard creation
- Experience with Tableau, Grafana, Prometheus, and Thanos stack
- Strong knowledge of SQL and time-series data
- Experience with PromQL
- Working knowledge of Linux environments
- Expertise in building telemetry dashboards
- Understanding of different visualization graphs and charts
- Experience monitoring production systems and observability pipelines
- Experience with ML/AI observability
- Knowledge of LLM monitoring metrics (tokens, latency, hallucination tracking, etc.)
- Experience defining SLOs/SLIs
- Familiarity with distributed tracing and logging frameworks
- Experience with large-scale observability platforms
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