Experience building or significantly expanding cloud observability capabilities in production environments.
Strong automation skills to reduce manual and repetitive work.
Ability to ask probing questions and understand problems deeply before proposing solutions.
Comfortable working across infrastructure, cloud, Kubernetes, telemetry, automation, and collaborating with people.
Pragmatic approach balancing engineering quality, usability, and delivery.
Ability to make progress without perfect requirements.
Understanding that platform adoption is as important as technical design.
Ownership mindset focused on outcomes rather than just completing tickets.
Strong systems thinking, curiosity, and willingness to adapt based on new information.
Experience or ability to work with technologies including AWS, EKS/Kubernetes, OpenTelemetry, CloudWatch, Prometheus-compatible metrics, VictoriaMetrics, VictoriaLogs, Alertmanager, Grafana, PagerDuty, Terraform, Python, and Go.
What You'll Be Doing
Design and build standard cloud observability patterns for AWS and EKS.
Develop telemetry collection and distribution at scale across a multi-account AWS estate.
Translate AWS telemetry into patterns that integrate with existing metrics, logs, and alerting platforms.
Deploy observability components while avoiding circular dependencies in the platform.
Integrate cloud telemetry with service ownership data to map alerts and dashboards to real services and owners.
Build or integrate logs, metrics, and alerting platforms, including storage, routing, retention, and PagerDuty integration.
Support retrospective deployment of observability standards across existing cloud workloads.
Create repeatable onboarding patterns for consistent observability adoption in new cloud workloads.
Automate user configuration for alert rules, scrape targets, dashboards, and team-consumable patterns.
Reduce operational toil through automation, standardization, and clear platform patterns.
Collaborate closely with Observability, Cloud, Platform Engineering, and service-owning teams to ensure platform practicality and adoption.
Nice to Haves
Experience specifically with VictoriaMetrics, VictoriaLogs, Alertmanager, Terraform, Python, or Go or similar tools.
Understanding of underlying observability concepts beyond specific vendor tooling.
Perks and Benefits
Opportunity to build a scalable cloud observability capability that supports research, trading, and engineering activity at Qube Research & Technologies.
Hands-on platform engineering role with impact across a large, multi-account AWS environment.
Work in a technology-driven, data-focused quantitative investment manager.