Cloud Architect

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

gcp
aws
data migration
gcp migration
cloud architecture
Google Professional Cloud Architect
Google Professional Cloud Security Engineer

Job Details

Role - Cloud Architect
Location - Secaucus, NJ(Remote)

Job Details
Sr Cloud Architect: Seasoned Senior Cloud Architect with deep expertise in Google Cloud Platform (Google Cloud Platform) and Amazon Web Services (AWS) to lead a strategic cloud transformation initiative. This role will focus on data migration from AWS to Google Cloud Platform, while architecting secure, scalable, and high-performance cloud solutions across networking, security, analytics, and AI.
Skills & Expertise
8+ years of experience in cloud architecture, with 3+ years in Google Cloud Platform and AWS environments
• Proven success in cloud migration projects, especially AWS to Google Cloud Platform
• Expertise in Google Cloud Platform networking, security, and data services
• Hands-on experience with Terraform, Cloud Build, and CI/CD pipelines
• Strong understanding of container orchestration using Kubernetes and GKE
• Familiarity with Vertex AI, BigQuery, Dataflow, and Looker
Must have one of the below

  • Google Professional Cloud Architect - For Cloud Infra Tasks
  • Google Professional Cloud Security Engineer – For Security tasks(IAM, Security Command Center, Google SecOps, Secret Manager & Key Management, DLP

Nice to have one or more of the below.

  • Google Professional Data Engineer – For BigQuery(Data Migration & Data Sharing, Analytics Hub) & Dataflow
  • Google Professional Cloud DevOps Engineer – For GKEtasks (Containers & Orchestration, GKE Networking & Security & POD Management)
  • Google Cloud Professional Machine Learning Engineer – For Vertex AI tasks (Google Cloud Platform Agent space, Notebook LLM)

Additional must have skill

  • Looker(North & Sough bound connectivity) – Looker is like Microsoft Power BI for Google. This is an additional skill that is required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.