No third party consultants and must be US Citizen or Green Card
Install a single virtual server DMA instance (in dev and test) as defined in the Architecture Design Document. This includes HPE Server Automation (SA) standalone installation in dev and pre-prod as DMA management server
Install two (2) DMA instance in production environment as defined in the Cloud Platform Design. This includes installation of two (2) node HPE SA multi-master mesh for setting up HA in production environment
Standard configurations will be applied for Authentication, Authorizing, and Auditing
Configure AD authentication
Configure up to two (2) user roles
Deploy four (4) DMA agents for testing
Download one (1) standard DMA Database Provisioning Solution Pack (testing)
Install, configure, and deploy DMA instances in pre-production and production environments. This includes HPE Server Automation (SA) standalone installation in dev and pre-prod as DMA management server.
Role: HP DMA Consultant
Location: Austin, TX (100% remote)
Job Status: Contract
Start Date: 10/23/15 - 04/22/16
Mode of interview: Telephonic
Salary: Negotiable
Configure Consulting
We specialize in Staff Augmentation and Consulting Services across HP Software, VMWare, EView Technology and other IT Operations vendor portfolios. Our unique quick-start solutions are designed to empower IT operations teams with the efficiency, stability and top performance in the delivery of business services.
Proven implementation success with numerous fortune 500 clients
100s of successful projects across numerous industries
Certified and experienced consultants and thought leaders
Emphasis on best practices, lessons learned and strategic guidance
Supporting clients across North America
Unique offerings such as quick-start and upgrade factory
Meta is a technology company that builds and operates global-scale infrastructure to power innovative digital services and platforms. The company develops data centers that form the foundation of its rapidly scaling infrastructure, delivering services to billions of users worldwide. Meta's engineering teams work across multiple domains—from chip design to building management systems—to optimize efficiency, reliability, and uptime of its compute infrastructure. The company is also investing heavily in AI-powered automation and transformation of operational processes at scale through its Scaled Operations organization.
