Senior Observability & Telemetry Engineer

Role Overview

• Design and implement scalable telemetry pipelines for metrics, logs, and traces across distributed GPU infrastructure.
• Architect observability systems capable of ingesting high-cardinality telemetry from thousands of nodes and services.
• Build and operate telemetry storage systems optimized for large-scale time-series and event data.
• Contribute to observability standards across services, including metrics, tracing instrumentation, logging, and SLO implementation.
• Instrument GPU clusters, inference workloads, and distributed training environments.
• Implement telemetry pipelines for GPU, CPU, network, and storage performance metrics.
• Build dashboards and monitoring tools that expose system health and performance to both internal teams and customers.
• Develop performance analysis tools that help customers understand system bottlenecks.
• Develop and maintain network observability platforms.

Requirements

• Proven experience operating large distributed infrastructure platforms.
• Strong background in observability systems and telemetry pipelines.
• Experience building metrics, logging, tracing, alerting, and dashboards at production scale.
• Strong programming skills in Go, Python, or Rust.
• Experience with large-scale time-series data platforms.
• Experience with large-scale GPU cloud platforms, HPC environments, or AI infrastructure.
• Experience monitoring AI workloads such as training or inference clusters.
• 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.
• Experience monitoring complex networking environments.
• Familiarity with telemetry protocols such as gNMI, SNMP, and streaming telemetry.
• Strong data analysis capabilities.
• Ability to interpret complex telemetry signals and translate them into actionable insights.
• Ability to diagnose performance issues across distributed systems.

Tech Stack

• Cloud
• Distributed Systems
• Kubernetes
• Python
• Rust
• Go

Benefits

• Attractive compensation package reflecting your expertise and experience.
• A great work environment characterised by friendliness, international diversity, flexibility, and a hybrid-friendly approach.
• Opportunity to be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution.
• Inclusive Responsibility committed to creating a diverse and inclusive environment.