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Cloud Resources Management Support

Active

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Centers for Medicare and Medicaid Services is seeking support for the Marketplace Information Technology Group's cloud computing portfolio. The primary objective of this engagement is to manage cloud resource requests from Application Development Organizations, facilitate the procurement of these resources, and monitor utilization to ensure efficiency and predict future demand. This opportunity is categorized as a forecast under NAICS code 541513. Key points of contact for the project include Shawn Hunter as the Program Point of Contact and Ben Stidham as the Contracting Officer.

General Info

CMS seeks cloud computing portfolio support for resource management, procurement, and utilization monitoring.

Agency

Centers for Medicare and Medicaid Services → Centers For Medicare And Medicaid Services

NAICS

541513 - Computer Facilities Management Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PostedJan 1

forecast

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Organization & Contact Information

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AgencyCenters for Medicare and Medicaid Services → Centers For Medicare And Medicaid Services

Contacts2 people available

OfficeN/A

Organization / AgencyCenters for Medicare and Medicaid Services → Centers For Medicare And Medicaid Services

Office AddressN/A

Contacts

Shawn Hunter

contact@example.gov

Ben StidhamContracting Officer

contact@example.gov

Full Description

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The purpose is to provide cloud resources management support for the Marketplace Information Technology Group's cloud computing portfolio and related functions. Manage MITG's Application Development Organizations (ADOs') requests for cloud resources, participate in the process of securing the requested cloud resources, monitor the utilization of cloud resources, and ensure optimal use of allocated cloud resources as well as predicting future demand.

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