Senior GCP Architect & AI Platform Leader

SID Global Solutions

Exton (PA)

On-site

USD 180,000 - 240,000

Full time

20 hours ago
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Job summary

SID Global Solutions seeks a senior cloud architect to design secure, scalable Google Cloud architectures for enterprise clients. You will lead cloud migration and modernization initiatives across hybrid and multi-cloud environments, and drive architecture decisions spanning GKE, Anthos, IAM, and networking.

The role requires deep experience with data platforms, API management, and enterprise AI offerings, including GenAI, Vertex AI, and API security.

Qualifications

  • 12+ years of experience in software or enterprise architecture.
  • 7+ years of hands-on Google Cloud architecture experience.
  • Strong expertise in GCP, GKE, Cloud Run, Anthos, IAM, networking, security, and platform engineering.
  • Experience with data lakes, data warehouses, and data governance.

Responsibilities

  • Design and implement secure, scalable, highly available GCP architectures for enterprise customers.
  • Lead cloud migration, modernization, hybrid-cloud, and multi-cloud transformation initiatives.
  • Architect cloud-native platforms using GKE, Cloud Run, Anthos, Compute Engine, Cloud Storage, IAM, and GCP networking/security services.
  • Develop GenAI and Agentic AI solutions using Gemini, Vertex AI, and related tools.
  • Lead API and integration architecture with Apigee X/Hybrid, API Gateway, and microservices.

Skills

Cloud Architecture
Google Cloud (GCP)
GKE & Anthos
APIs & API Management
DevOps & IaC
Kubernetes
Data Platforms

Education

Bachelor’s degree in CS/Engineering

Tools

Terraform
Docker
Kubernetes
Apigee X/Hybrid
BigQuery/Data Governance tools

Job description

SID Global Solutions seeks a senior cloud architect to design secure, scalable Google Cloud architectures for enterprise clients. You will lead cloud migration and modernization initiatives across hybrid and multi-cloud environments, and drive architecture decisions spanning GKE, Anthos, IAM, and networking.

The role requires deep experience with data platforms, API management, and enterprise AI offerings, including GenAI, Vertex AI, and API security.

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