Onsite Cloud Engineer - AWS/Azure Migration & Operations

ASSYST, Inc.; Sterling (VA); Sur place; USD 105 000 - 150 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision

401(k) retirement plan

Disability insurance

Flexible spending accounts

Résumé du poste

ASSYST, Inc. in Sterling, VA is seeking an experienced Cloud Engineer to support cloud migration, infrastructure, and operations in an onsite role. The candidate will manage AWS and Azure environments, troubleshoot issues, and help maintain secure, high-performing cloud services.

You will collaborate with technical teams to implement security best practices, backups, disaster recovery, and access controls, ensuring reliable cloud operations for sensitive workloads.

Qualifications

• 5+ years of experience in cloud migration, cloud infrastructure support, and operations.
• Hands-on experience administering AWS and Azure cloud environments.
• US Citizenship required with eligibility to obtain a government security clearance.

Responsabilités

• Support cloud migration, deployment, configuration, and maintenance activities.
• Monitor cloud infrastructure, troubleshoot issues, and optimize performance and availability.
• Implement cloud security best practices, backup, disaster recovery, and access controls.
• Collaborate with technical teams to maintain and improve cloud operations.

Connaissances

Cloud migration

Cloud infrastructure support

Cloud operations

Security best practices

Disaster recovery planning

Troubleshooting

Collaboration

Outils

AWS

Azure

Description du poste

ASSYST, Inc. in Sterling, VA is seeking an experienced Cloud Engineer to support cloud migration, infrastructure, and operations in an onsite role. The candidate will manage AWS and Azure environments, troubleshoot issues, and help maintain secure, high-performing cloud services.

You will collaborate with technical teams to implement security best practices, backups, disaster recovery, and access controls, ensuring reliable cloud operations for sensitive workloads.