Job Title: Senior Cloud Storage & Archive Engineer
Location: Onsite 4 days a week in Glendale, CA. (1 day remote)
Duration:Long Term
Position Overview We are seeking a highly experienced Senior Cloud Storage & Archive Engineer to design, build, automate, and operate enterprise-scale data archiving and restore solutions across NetApp, AWS, cloud storage, and vaulting environments.
Required Qualifications
· Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent technical experience.
· 5+ years of professional experience in storage engineering, cloud infrastructure, DevOps, systems engineering, archive platforms, or a related discipline.
· Strong experience architecting enterprise-scale archive, restore, storage, or data lifecycle solutions.
· Hands-on experience with AWS S3, AWS DataSync, and AWS Storage Gateway.
· Strong understanding of Amazon S3 storage classes, lifecycle policies, versioning, retention, and retrieval characteristics.
· Experience developing automation using one or more of Python, PowerShell, Bash, REST APIs, AWS CLI, or AWS SDKs.
· Experience designing reliable automated workflows with validation, retry logic, error handling, monitoring, and auditability.
· Experience with enterprise storage environments and data movement at scale.
· Experience with APIs and system integrations, including workflow or ticketing platforms.
· Strong DevOps and production operations experience, including monitoring, logging, alerting, troubleshooting, and performance analysis.
· Ability to design solutions that balance performance, reliability, recovery requirements, security, and cost.
Key ResponsibilitiesArchive & Storage Architecture
· Architect reliable, scalable, consistent, and high-performance archiving and restore solutions across NetApp, AWS S3, cloud storage, and vaulting environments.
· Design enterprise storage and data lifecycle strategies based on performance, accessibility, retention, recovery objectives, and cost.
· Evaluate and implement appropriate AWS S3 storage classes, lifecycle policies, versioning, retention controls, and retrieval strategies.
· Design solutions capable of supporting large-scale and potentially multi-petabyte data environments.
· Develop architecture standards and best practices for archive, restore, backup, and data lifecycle management.
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