Company

Technology

InfrastructureTooling&ObservabilityEngineer

£85–120k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Infrastructure Tooling & Observability Engineer”

Industry & Context.

Technology
Full Job Description

ABOUT US We’re a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. ROLE OVERVIEW We are seeking an Infrastructure Tooling & Observability Engineer to act as a key engineering force within our global Infrastructure Operations organisation. Working closely with our SRE teams, you will translate high-level reliability objectives into scalable, production-ready systems that directly improve the resilience, efficiency, and performance of our global infrastructure. This role goes beyond traditional monitoring. You will help design and build the internal control plane that enables operations at scale across a rapidly growing GPU fleet. Your work will focus on transforming complex, high-volume telemetry—spanning logs, metrics, and events across HPC, networking, and platform layers—into actionable insight that drives operational excellence and proactive reliability. A core part of your responsibility will be developing intelligent observability and automation systems, including advanced alerting strategies, anomaly detection, and AI-driven tooling that reduces L1/L2 escalations and removes operational toil. You will also contribute to Continual Service Improvement (CSI) initiatives by building frameworks for reliability measurement, automated remediation, and system health evaluation. In addition, you will play a central role in turning SRE reliability initiatives into scalable engineering solutions. This includes designing and delivering capabilities such as inventory management systems, performance testing frameworks, and automated performance result collection. You will also help eliminate manual workflows involved in onboarding new regions, facilities, and clusters, embedding automation and standardisation into every stage of infrastructure

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