Senior Observability & Telemetry Engineer (GPU/AI Infrastructure)

Location: Europe / EMEA, remote

Company

hirify.global's Radian Arc, now part of InferX, provides an IaaS platform for cloud gaming, artificial intelligence, and machine learning applications within telecommunications carrier networks.

What you will do

• Design and operate scalable, low-latency telemetry pipelines for metrics, logs, and traces across distributed GPU infrastructure and edge deployments.
• Build telemetry storage, dashboards, monitoring tools, and customer-facing performance analysis capabilities.
• Instrument GPU clusters, inference and training workloads, compute, storage, and networking systems.
• Develop network telemetry collectors and exporters using Go or Python and protocols including gNMI, SNMP, and streaming telemetry.
• Implement alerting, anomaly detection, SLOs, SLIs, and integrations with incident-management workflows.
• Collaborate with platform, networking, storage, compute, and operations teams while mentoring engineers on observability practices.

Requirements

• Experience operating large distributed infrastructure platforms and production-scale observability systems.
• Strong programming skills in Go, Python, or Rust.
• Experience with metrics, logging, tracing, alerting, dashboards, and large-scale time-series data platforms.
• Experience with GPU cloud, HPC, or AI infrastructure and monitoring training or inference workloads.
• Knowledge of Kubernetes, automation, CI/CD, complex networking environments, and telemetry protocols such as gNMI and SNMP.
• Strong analytical skills with the ability to diagnose distributed-system performance issues and turn telemetry into actionable insights.

Culture & Benefits

• Permanent, full-time contract with an ASAP start.
• Compensation package based on expertise, experience, transferable skills, business needs, and market demands.
• Flexible, international, and hybrid-friendly work environment.
• Opportunity to join a fast-growing scale-up focused on AI cloud and GPU infrastructure.