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 availability
Develop automation frameworks for deployment and operations
Monitor storage systems with observability and tracing tools
Improve low-latency access, caching, and throughput
Support storage and production systems through on-call rotation
Requirements: BS degree or equivalent experience in a related field
8+ years of practical experience in technical systems
Infrastructure automation experience with Ansible, Chef, Puppet, or Terraform
Monitoring experience with InfluxDB, Prometheus, Grafana, or Elastic
Experience with Kubernetes, OpenStack, or hybrid cloud storage
Use cloud storage reliability, observability, and automation skills to strengthen NVIDIA production services supporting AI/ML workloads.