Senior AI Telemetry & Observability Engineer

Bitdeer (NASDAQ: BTDR)

Singapore

On-site

SGD 120,000 - 240,000

Full time

14 days+

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Job summary

Bitdeer, headquartered in Singapore, is seeking an experienced observability engineer to architect and scale a high-cardinality telemetry stack for AI and GPU workloads. You will integrate NVIDIA DCGM and other exporters into Kubernetes, build eBPF-based diagnostics, and drive real-time analytics and billing metrics.

You should have extensive Prometheus/OpenTelemetry experience, strong Go and Kubernetes skills, and a track record of scaling telemetry in HPC or cloud environments.

Qualifications

  • Requires strong experience in Prometheus/OpenTelemetry ecosystems.
  • Proficiency in Go and custom Kubernetes metric exporters is essential.
  • Hands-on with kernel tracing tools (eBPF/BCC) and Linux performance tuning.

Responsibilities

  • Architect and scale telemetry infrastructure for high ingestion rates.
  • Integrate hardware exporters into Kubernetes observability stack.
  • Create eBPF-based tools to trace network and I/O latency across clusters.
  • Develop dashboards and alerting pipelines for proactive maintenance.
  • Design multi-tenant real-time GPU/network utilization billing metrics.
  • Collaborate with GPU Systems teams to define observability standards for AI workloads.
  • Lead design reviews and mentor on high-performance telemetry collection.

Skills

Prometheus
OpenTelemetry
Go
Kubernetes
eBPF
Kernel tracing
GPU telemetry

Education

Bachelor's or Master's in CS/EE

Tools

NVIDIA DCGM
Redfish
VictoriaMetrics
Thanos
Mimir

Job description

Bitdeer, headquartered in Singapore, is seeking an experienced observability engineer to architect and scale a high-cardinality telemetry stack for AI and GPU workloads. You will integrate NVIDIA DCGM and other exporters into Kubernetes, build eBPF-based diagnostics, and drive real-time analytics and billing metrics.

You should have extensive Prometheus/OpenTelemetry experience, strong Go and Kubernetes skills, and a track record of scaling telemetry in HPC or cloud environments.

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