Senior Observability & Telemetry Engineer - Radian Arc

Jobgether; Schweiz; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Zusammenfassung

Radian Arc is seeking a Senior Observability & Telemetry Engineer to establish the observability foundation for large-scale GPU cloud and edge infrastructure in Switzerland. You will design and operate telemetry platforms providing real-time visibility across AI workloads, compute, storage, networking, and inference environments.

The role combines observability architecture, infrastructure telemetry, reliability engineering, and customer-facing performance insights, mentoring engineers and

Qualifikationen

• Proven experience operating observability systems at production scale.
• Strong programming skills in Go, Python, or Rust.
• Hands-on experience with Prometheus, OpenTelemetry, Grafana and large-scale telemetry databases like ClickHouse.
• Experience with GPU cloud/HPC/AI infrastructure and monitoring distributed training or inference workloads.
• Knowledge of GPU telemetry technologies (NVIDIA DCGM, DCGM Exporter, NVML) and AI workload metrics.
• Familiarity with cloud-native infra including Kubernetes, automation, CI/CD, and distributed systems.
• Strong analytical and troubleshooting capabilities to translate telemetry into actionable improvements.
• Excellent collaboration across infrastructure, networking, storage, compute, and operations teams.
• Ownership mindset and ability to lead complex observability initiatives.

Aufgaben

• Design, implement, and operate scalable telemetry pipelines for metrics, logs, and traces across distributed GPU and edge infrastructure.
• Architect and maintain telemetry storage systems for time-series and event data; contribute to instrumentation and SLIs/SLOs.
• Build dashboards and monitoring tools that provide actionable insights into workload health, GPU utilization, and performance.
• Collaborate with platform, networking, storage, compute, and operations teams to improve instrumentation and incident response.
• Provide technical guidance and mentorship to engineers in observability practices; participate in on-call rotations.

Kenntnisse

Go

Python

Rust

Observability

Telemetry

Distributed systems

Analytical

Collaboration

Tools

Prometheus

OpenTelemetry

Grafana

ClickHouse

Kubernetes

NVIDIA DCGM

NVML

gNMI

SNMP

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Observability & Telemetry Engineer - Radian Arc based in Switzerland.

This is a high-impact engineering role focused on building the observability foundation for large-scale GPU cloud and edge infrastructure.

You will design and operate telemetry platforms that provide real-time visibility across distributed AI workloads, compute, storage, networking, and inference environments.

The role combines observability architecture, infrastructure telemetry, reliability engineering, and customer-facing performance insights.

You will work with high-cardinality metrics, logs, traces, and event data across both hyperscale environments and smaller edge deployments.

Your work will directly improve platform reliability, operational efficiency, performance, and incident response.

As a senior engineer, you will lead major initiatives, influence observability standards, and mentor engineers across multiple technical teams.

The environment is international, technically ambitious, and well suited to someone who enjoys solving complex distributed-systems challenges with significant autonomy.

Accountabilities

• Design, implement, and operate scalable telemetry pipelines for metrics, logs, and traces across distributed GPU and edge infrastructure, supporting high-cardinality data from thousands of nodes and services.


• Architect and maintain telemetry storage systems optimized for large-scale time-series and event data, while contributing to standards for instrumentation, logging, tracing, and SLO implementation.


• Build comprehensive observability across compute, storage, networking, GPU clusters, inference workloads, and distributed training environments, identifying issues such as GPU throttling, network congestion, storage latency, and hardware degradation.


• Develop dashboards, monitoring tools, and performance-analysis capabilities that provide internal teams and customers with actionable insights into workload health, GPU utilization, storage throughput, network latency, and inference performance.


• Build and maintain network and infrastructure telemetry solutions using Python or Go, integrating data from technologies such as NVIDIA Cumulus Linux, VyOS, Citrix NetScaler/WAF, gNMI, SNMP, and streaming telemetry.


• Develop advanced alerting, anomaly detection, reliability metrics, SLIs, and SLOs, integrating observability signals into operational workflows and incident management processes.


• Collaborate with platform, networking, storage, compute, and operations teams to improve instrumentation, monitoring, incident response, and platform reliability.


• Provide technical guidance and mentorship to engineers, promoting effective observability practices and consistent monitoring patterns across the organization.


• Participate in on‑call rotations supporting production observability and telemetry infrastructure.

Requirements

• Proven experience operating observability systems and distributed infrastructure platforms at production scale, with strong expertise across metrics, logging, tracing, alerting, dashboards, and telemetry pipelines.


• Strong programming skills in Go, Python, or Rust, with experience developing telemetry collectors, exporters, automation, or infrastructure tooling.


• Hands‑on experience with observability technologies such as Prometheus, OpenTelemetry, Grafana, distributed logging platforms, and large‑scale telemetry databases such as ClickHouse or equivalent.


• Experience working with large‑scale GPU cloud, HPC, or AI infrastructure and monitoring distributed training or inference workloads.


• Knowledge of GPU telemetry technologies such as NVIDIA DCGM, DCGM Exporter, NVML, GPU Operator telemetry, NVLink, and NVSwitch, as well as AI workload metrics including inference latency, throughput, NCCL health, synchronization latency, and storage I/O.


• Strong understanding of networking and infrastructure telemetry, including experience with gNMI, SNMP, streaming telemetry, network flow telemetry, RDMA/RoCE, or comparable technologies.


• Familiarity with cloud‑native infrastructure, including Kubernetes, automation, CI/CD, and distributed systems.


• Strong analytical and troubleshooting capabilities, with the ability to interpret complex telemetry signals, diagnose performance problems, identify systemic issues, and translate findings into actionable improvements.


• Excellent collaboration and communication skills, with the ability to work effectively across infrastructure, networking, storage, compute, and operations teams.


• A proactive, ownership‑oriented mindset and the ability to lead complex observability initiatives in a fast‑moving, technically sophisticated environment.

Benefits

• Attractive compensation package reflecting your expertise, experience, transferable skills, and market conditions.


• Permanent, full-time position with an EMEA-based remote work model.


• Flexible and hybrid‑friendly working environment designed to support international collaboration.


• Opportunity to work on large‑scale GPU, AI, cloud, networking, and edge infrastructure challenges.


• Exposure to advanced observability, telemetry, reliability, and distributed‑systems technologies.


• Opportunity to contribute to major platform initiatives and influence observability standards across multiple engineering teams.


• Mentorship and leadership opportunities, including the ability to guide engineers and promote best practices.


• Career growth within a fast‑growing international scale‑up focused on innovative infrastructure solutions.


• Inclusive and diverse working environment where qualified candidates are considered fairly and supported in their development.