Improve NVIDIA GPU cloud storage reliability through observability, predictive automation, and infrastructure configuration. Help sustain effective services for AI/ML workloads.
As a Senior Cloud Storage Reliability Engineer, you will improve storage services from design through deployment, operation, and continuous optimization. The position combines production engineering, cloud-enabling technologies, and storage performance work. You will support capacity planning, launch reviews, system build consulting, and automated remediation.
Key Responsibilities
Support storage services before production availabilityDevelop automation frameworks for deployment and operationsMonitor storage systems with observability and tracing toolsImprove low-latency access, caching,
and throughputSupport storage and production systems through on-call rotationRequirements:
BS degree or equivalent experience in a related field8+ years of practical experience in technical systemsInfrastructure automation experience with Ansible, Chef, Puppet, or TerraformMonitoring experience with InfluxDB, Prometheus, Grafana, or ElasticExperience with Kubernetes, OpenStack, or hybrid cloud storageUse cloud storage reliability, observability, and automation skills to strengthen NVIDIA production services supporting AI/ML workloads.
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