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About the Role
This role focuses on building the foundational cloud observability capabilities across AWS and EKS/Kubernetes. It's a platform engineering position aimed at establishing standard patterns for telemetry collection, storage, alerting, and team adoption within a large, multi-account AWS environment.
Responsibilities
- Design and build 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 existing metrics, logs, and alerting platforms.
- Deploy observability components, including patterns that avoid circular dependencies.
- Integrate cloud telemetry with inventory and service ownership data.
- 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 for consistent observability adoption in new cloud workloads.
- Build user configuration automation for alert rules, scrape targets, dashboards, and standard team-consumable patterns.
- Reduce operational toil through automation, standardization, and clear platform patterns.
- Collaborate with Observability, Cloud, Platform Engineering, and service-owning teams to ensure platform practicality.
- Make cloud observability easier to adopt than bespoke alternatives while continuously improving the platform.
Requirements
- Previously built or significantly expanded cloud observability capabilities in production environments.
- Automate repetitive work rather than documenting manual processes.
- Ask questions before proposing solutions.
- Recognize when the problem is not yet understood.
- Deliberately discover how systems actually work before committing to a design.
- Adapt approach as new information becomes available.
- Solve root causes rather than symptoms.
- Comfortable working across infrastructure, cloud, Kubernetes, telemetry, automation, and people.
- Pragmatic about balancing engineering quality, usability, and delivery.
- Able to make progress without waiting for perfect requirements.
- Understand that platform adoption matters as much as technical design.
- Comfortable owning outcomes, not just completing tickets.
- Understand underlying concepts and have successfully applied them in production.
Skills
- AWS
- EKS/Kubernetes
- OpenTelemetry
- CloudWatch
- Prometheus-compatible metrics
- VictoriaMetrics
- VictoriaLogs
- Alertmanager
- Grafana
- PagerDuty
- Infrastructure as code
- CI/CD
- Automation
- Service catalogues
- Inventory data
- Terraform
- Python
- Go
Location
- AWS
- EKS/Kubernetes
Work Type
- Contract
Experience Level
- Hands-on
About the Company
- Qube Research & Technologies (QRT) is a technology and data-driven quantitative investment manager.
- We build systems that directly support research, trading and engineering activity.