GCP Cloud Migration Architect — Zero-Downtime, Scalable

Tekgence Inc

Austin (TX)

On-site

USD 140,000 - 200,000

Full time

38 hours ago
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Job summary

Tekkinge Inc. in Austin, TX is seeking an experienced Cloud Architect to lead production migrations from Azure or AWS to Google Cloud Platform (GCP). You will drive target-state architecture, manage migration risks, and guide teams through phased delivery and production readiness reviews.

The role emphasizes hyperscaler migrations, LLM-based architectures, data migration strategies, and zero-downtime cutovers, with close collaboration across stakeholders and engineering teams.

Qualifications

  • Experience leading cloud migrations to GCP from Azure/AWS.
  • Strong data migration planning and zero-downtime cutovers.
  • Experience designing LLM-based architectures.
  • Stakeholder management and architectural governance.

Responsibilities

  • Lead architecture and execution of migrations to GCP from Azure or AWS.
  • Design scalable, secure, and cost-efficient GCP architectures.
  • Define migration strategies for apps, databases, storage, and AI services.
  • Develop zero-downtime data migration approaches with validation and rollback.
  • Evaluate and implement LLM-based, agent‑orchestration architectures.
  • Guide IaC, CI/CD, deployment sequencing, and production readiness.
  • Assess risks and present technical recommendations to stakeholders.
  • Lead architecture reviews and phase-gate decisions for reliability.

Skills

GCP expertise
Cloud migrations
LLM architectures
Data migration
Zero-downtime deployment
Infrastructure as Code
CI/CD
Security
Networking
Cost optimization

Tools

Terraform
Kubernetes
CI/CD tools

Job description

Tekkinge Inc. in Austin, TX is seeking an experienced Cloud Architect to lead production migrations from Azure or AWS to Google Cloud Platform (GCP). You will drive target-state architecture, manage migration risks, and guide teams through phased delivery and production readiness reviews.

The role emphasizes hyperscaler migrations, LLM-based architectures, data migration strategies, and zero-downtime cutovers, with close collaboration across stakeholders and engineering teams.

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