Cloud Engineer (Remote)

Overview

GovCIO is seeking a Cloud Data & Automation Engineer to support the migration and ongoing management of DCS's large-scale evidentiary data environment within AWS GovCloud. The engineer will focus on data migration, automation, storage lifecycle management, replication, archival, retrieval, and secure data movement across AWS, Azure, and VA on-premises environments.

The position requires strong hands-on experience with Python, AWS CLI, S3/Glacier, DataSync, SnapMirror, and large-scale data migration. Responsibilities: * Develop and maintain Python and AWS CLI automation for cloud data operations. * Design, execute, and troubleshoot large-scale data migration and transfer workflows. * Support AWS DataSync workflows for high-volume data transfers. * Configure and manage Amazon S3 storage and lifecycle policies. * Implement and support S3/Glacier archival and retrieval workflows. * Support NetApp ONTAP and SnapMirror replication activities. * Support migration of active datasets to FSx ONTAP and historical datasets to S3/Glacier. * Automate data movement, synchronization, validation, archival, and retrieval processes. * Monitor and troubleshoot large-scale data transfers, synchronization, storage, and performance issues. * Manage and optimize cloud storage, transfer, archival, and retrieval costs. * Support secure data flows between AWS, Azure, and VA on-premises systems. * Develop scripts, automation workflows, runbooks, and technical documentation. * Analyze data transfer and storage requirements to support scalability and operational efficiency. * Coordinate with cloud infrastructure engineers, AWS engineering teams, VA platform teams, and application stakeholders. * Establish repeatable and sustainable processes for managing large-scale evidentiary data within the cloud environment.

Qualifications: Required Skills and Experience

* Bachelor's degree in Computer Science, Information Technology, Data Engineering, Engineering,