Senior Observability & Telemetry Engineer (Radian Arc)

Join Radian Arc as a Senior Observability & Telemetry Engineer. In this permanent, full-time role, you will design and build the observability platform that powers visibility, reliability, and performance insights for large-scale GPU cloud infrastructure and smaller edge deployments. You will lead major observability initiatives, contribute to the evolution of telemetry standards, and collaborate closely with various engineering teams. This position offers a competitive benefits package and the opportunity to work in a fast-growing scale-up with a mission to make a positive impact.

• Design and build the observability platform that powers visibility, reliability, and performance insights for large-scale GPU cloud infrastructure.
• Lead delivery of major observability initiatives, contribute to the evolution of telemetry standards and SLO implementation.
• Collaborate closely with infrastructure, networking, storage, and platform engineering teams to provide clear visibility into performance bottlenecks.
• Experience monitoring AI workloads such as training or inference clusters
• Strong background in observability systems and telemetry pipelines
• Experience with large-scale GPU cloud platforms, HPC environments, or AI infrastructure
• Experience building metrics, logging, tracing, alerting, and dashboards at production scale
• Experience with large-scale time-series data platforms
• Strong programming skills in Go, Python, or Rust
• Proven experience operating large distributed infrastructure platforms
• Deep understanding of distributed systems observability
• Familiarity with cloud-native infrastructure such as Kubernetes, automation, and CI/CD
• Experience operating observability systems for high-performance or large-scale environments
• Familiarity with telemetry protocols such as gNMI, SNMP, and streaming telemetry
• Experience integrating network and system telemetry into centralized monitoring platforms
• Experience monitoring complex networking environments
• Ability to interpret complex telemetry signals and translate them into actionable insights
• Strong data analysis capabilities
• Ability to diagnose performance issues across distributed systems