Highbrow LLC is seeking a Public Cloud Database PaaS Engineer to design and maintain database services on GCP and Azure. The role requires expertise in cloud technologies, DevOps tools, and database management.
Job Title: Public Cloud Database PaaS Engineer Job ID: 2024-12695 Job Location: Mt. Laurel, NJ, or New York, NY, or Toronto, ON (2 days/week onsite) Job Travel Location(s): # Positions: 3 Employment Type: W2 Duration:Long term # of Layers:0 Work Eligibility:All Work Authorizations are Permitted – No Visa Transfers Key Technology:GCP, Azure, SQL, Linux, Windows Job Responsibilities: Be responsible for the solution engineering, design, optimization, integration, automation, and maintenance of popular Google Cloud Platform (GCP) and Microsoft Azure (AZ) database PaaS services, such as Microsoft SQL Server, PostgreSQL, No-SQL and Redis. Provide R&D for introducing public cloud PaaS to TD environment, DevOps pipeline development and on-going maintenance, optimization, and enhancement. Skills and Experience Required: Required skills: 3 years of experience working with Google Cloud Platform and Microsoft Azure public clouds. 3 years of experience with database PaaS such as Microsoft SQL Server, PostgreSQL, No-SQL and Redis. 3 years of experience working with DevOps tools such GitHub Actions and Terraform. 3 years of experience in Python. 3 years of experience with Azure CLI/Google Cloud Shell. 3 years of experience with public cloud network security. 3 years of experience with Cloud application architecture. Strong working knowledge of Networking, Linux, and Windows operating systems. Certifications: GCP Professional Cloud Database Engineer is desired. MS Azure Database Administrator Associate is desired.
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Highbrow LLC is seeking a Public Cloud Database PaaS Engineer to design and maintain database services on GCP and Azure. The role requires expertise in cloud technologies, DevOps tools, and database management.
Highbrow LLC is seeking a Public Cloud Database PaaS Engineer to design and maintain database services on GCP and Azure. The role requires expertise in cloud technologies, DevOps tools, and database management.