[Remote] Cloud Engineer
Note: The job is a remote job and is open to candidates in USA. GovCIO provides advanced technology solutions and digital services for the federal government. The Cloud Data & Automation Engineer will support the migration and ongoing management of a large-scale evidentiary data environment in AWS GovCloud, including automation, storage lifecycle management, replication, archival, retrieval, and secure data movement across AWS, Azure, and on-premises systems.
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
Skills
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related field preferred and 8+ year of experience
- Equivalent professional experience may be considered
- 5+ years of experience in cloud engineering, data engineering, or cloud automation
- 3+ years of hands-on AWS experience
- Experience working in AWS GovCloud or comparable regulated cloud environments
- Strong Python scripting experience
- Strong experience using AWS CLI for automation and cloud operations
- Hands-on experience with Amazon S3
- Experience implementing and managing S3/Glacier lifecycle policies and archival solutions
- Hands-on experience with AWS DataSync
- Hands-on experience with NetApp ONTAP and/or SnapMirror
- Experience performing large-scale data migrations and transfers
- Experience managing terabyte- to petabyte-scale datasets
- Experience automating data movement, synchronization, validation, archival, and retrieval
- Understanding of cloud data lifecycle management
- Experience monitoring and troubleshooting high-volume data transfers and storage operations
- Understanding of cloud storage, data transfer, retrieval, and cost optimization
- Experience supporting secure data flows between AWS, Azure, and on-premises environments
- Knowledge of cloud security and compliance requirements
- Strong troubleshooting, analytical, documentation, and communication skills
- Ability to obtain and maintain a Suitability/Public Trust clearance
- AWS certification such as Data Engineer, Solutions Architect, or Developer
- Experience supporting FedRAMP or federal government cloud environments
- Experience with Terraform, CloudFormation, or other Infrastructure as Code tools
- Azure cloud or data services experience
- Experience with enterprise storage platforms
- Experience supporting evidence, records, litigation, FOIA, investigative, or other highly controlled datasets
- Experience with database, data integration, or data processing technologies
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