Cloud Observability Platform Engineer (Contractor)

Cloud Observability Platform Engineer - Contract Qube Research & Technologies (QRT) is a technology and data-driven quantitative investment manager. We build systems that directly support research, trading and engineering activity. As our cloud estate scales, observability can no longer be treated as a set of dashboards or one-off integrations. We need standard patterns for telemetry collection, storage, alerting, service ownership, onboarding and team adoption across a large, multi-account AWS estate. We already operate an established observability capability supporting our on-premises platforms. This role exists to help build the equivalent capability across our cloud estate. We are looking for engineers who have successfully built similar capabilities before and can apply those lessons here. We are looking for hands-on Cloud Observability Platform Engineers to help build the foundations for cloud observability across AWS and EKS/Kubernetes. This is a Platform Engineering role, not a dashboard-building role. What You'll Do Help design and build the standard cloud observability patterns for AWS and EKS. Build telemetry collection and distribution at scale across a large, multi-account AWS estate. Translate AWS telemetry into patterns that integrate cleanly with our existing metrics, logs and alerting platforms. Deploy observability components, including patterns that avoid circular dependencies where the observability platform relies on itself to remain observable. Integrate cloud telemetry with inventory and service ownership data, so alerts and dashboards map back to real services and accountable owners. Build or integrate logs, metrics and alerting platforms, including storage, routing, retention and PagerDuty integration. Support retrospective deployment of observability standards across an existing cloud estate. Build repeatable onboarding patterns so new cloud workloads adopt observability consistently from day one. Build user configuration automation for alert rules, scrape targets, dashboards and standard team-consumable patterns. Reduce operational toil through automation, standardisation and clear platform patterns. Work closely with Observability, Cloud, Platform Engineering and service-owning teams to make the platform practical to adopt. Success depends on making cloud observability easier to adopt than bespoke alternatives while continuously improving the platform as the cloud estate evolves. Engineers Who Thrive In This Role You have previously built or significantly expanded cloud observability capabilities in production environments. You automate repetitive work rather than documenting manual processes. You ask questions before proposing solutions. You recognise when you do not yet understand the problem. You deliberately discover how systems actually work before committing to a design. You adapt your approach as new information becomes available. <s