GCP Architect

at  AppTad Technologies Pvt Ltd

LONG DESCRIPTION

• Responsible for overall solution requirements & architecture discussion, understand organization’s obstacles with business and technical partners to ensure solutions and provide due diligence
• Design, build and configure applications to meet business process and application requirements.
• Work on Google Cloud Platform Architecture for the business needs.
• Should be able to understand and articulate end to end architecture.
• experience in leading technical teams
• hands of experience on GCP
• Work with Google Cloud SQL to handle the user data/ client data.
• Handle Google Cloud Storage inorder to use the storage service efficiently
• Role as GCP Architect and SME in multiple projects
• Represent in client meetings
• Respond to RFPs providing the solution Arch.
• Min one year Experience in Architecting applications for Google Cloud platform
• Experience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTable
• Work with Google Cloud SQL to handle the user data/ client data.

PREFERRED SKILLS –

• Development background of any of the following programming languages (Python, Java, shell scripting, PL/SQL)
• Experienced in Terraform.
• Google Certified Professional Cloud Architect is preferred but hands-on experience with GCP services using GCP Console is the key.
  Job Type: Full-time
  Pay: $90.00 - $95.00 per hour

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift

Experience:

• Google Cloud Platform: 6 years (Required)
• Generative AI: 4 years (Required)
• VERTEX AI: 4 years (Required)

Ability to Commute:

• Jersey City, NJ 07302 (Required)

Ability to Relocate:

• Jersey City, NJ 07302: Relocate before starting work (Required)

Work Location: In perso

• Understanding of Data archival systems, Data management and Data governance concepts with ability to advocate for architecture that supports the governance/management of data
• Experienced in Google Cloud Datastore, Google CloudSQL, Google Cloud Spanner, Google DataFlow.
• Experienced in containerization solutions (Kubernetes and Docker) and Microservices on GCP