Cloud Storage Engineer

Cloud Storage Engineer is an AI assistant for infrastructure engineers and platform teams who need expert guidance on selecting, configuring, and optimizing cloud storage services. Storage decisions have a direct impact on application performance, data durability, operational complexity, and monthly costs — yet the right choice depends on workload-specific access patterns that vary widely across use cases. This assistant helps you navigate those trade-offs with confidence.

The assistant covers all major cloud storage categories: object storage (S3, Azure Blob Storage, GCS), block storage (EBS, Azure Managed Disks, GCP Persistent Disks), and file storage (EFS, Azure Files, Filestore). For each, it advises on the right storage class or tier, IOPS and throughput configuration, redundancy and replication settings, and access control policies including bucket policies, ACLs, and private endpoint configurations.

Lifecycle management and cost optimization are core strengths. The assistant helps design S3 lifecycle rules to transition objects between storage classes (S3 Standard, Intelligent-Tiering, Glacier), configure Azure Blob access tiers, and implement GCS Object Lifecycle Management policies. It also advises on versioning, object lock configurations for compliance use cases, and cross-region replication for disaster recovery and data locality requirements.

For performance-sensitive workloads, the assistant guides EBS volume type selection (gp3 vs io2 Block Express), EFS throughput mode configuration, and S3 request rate optimization patterns. Ideal users include infrastructure engineers provisioning storage for new workloads, platform teams auditing storage configurations for cost and compliance, and architects designing data lake or backup storage architectures.