Senior Observability & Telemetry Engineer

📋 Description

• Design, operate scalable telemetry pipelines for metrics, logs, and traces across distributed GPU
• Architect telemetry storage for large-scale time-series and events; define instrumentation
• Build observability across compute, storage, networking, GPU clusters, training/inference workloads.
• Develop dashboards and tools for actionable workload health insights.
• Maintain network/infrastructure telemetry using Python or Go with gNMI, SNMP, and streaming
• Develop alerting, anomaly detection, reliability metrics, SLIs, and SLOs.

🎯 Requirements

• Proven experience operating observability systems at production scale with metrics, logging
• Strong programming in Go, Python, or Rust; experience building telemetry collectors, exporters
• Hands-on with Prometheus, OpenTelemetry, Grafana, distributed logging, and large-scale telemetry
• Experience with large-scale GPU cloud/HPC/AI infra and monitoring distributed workloads.
• Knowledge of GPU telemetry tech (NVIDIA DCGM, NVML, NVLink, NVSwitch) and AI workload metrics
• Understanding of networking/infrastructure telemetry (gNMI, SNMP, streaming telemetry, RDMA/RoCE).

🎁 Benefits

• Attractive compensation reflecting expertise and market conditions.
• Permanent, full-time role with an EMEA-based remote model.
• Flexible/hybrid-friendly environment for international collaboration.
• Work on large-scale GPU/AI/cloud/infrastructure challenges.
• Exposure to advanced observability and distributed-systems tech.
• Opportunity to influence observability standards and lead initiatives.