Lead Google Cloud Platform Cloud Migration Architect GenAI & Application Modernization

Hybrid in US • Posted 2 hours ago • Updated 1 hour ago
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Job Details

Skills

  • AI

Summary

Position Title: Lead Google Cloud Platform Cloud Migration Architect GenAI & Application Modernization

Location: Remote

Duration: 6+ months

Job Description:

Looking for folks with Lead Google Cloud Platform Cloud Migration Architect GenAI & Application Modernization

This title reflects the role's core requirements: leading a production migration from Azure or AWS to Google Cloud Platform, architecting LLM-based applications, and guiding zero-downtime data migration and modernization. Person should be hands on.

We are seeking an experienced Cloud Architect to lead the architecture and execution of a production migration from Microsoft Azure or AWS to Google Cloud Platform (Google Cloud Platform). The ideal candidate will combine deep Google Cloud Platform architecture expertise with hands-on experience in hyperscaler migrations, LLM-based application architectures, data migration strategies, and production cutovers with zero-downtime requirements.

The architect will work closely with application, data, infrastructure, and business stakeholders to define the target-state architecture, manage migration risks, and guide implementation teams through phased delivery and production readiness reviews.

Key Responsibilities:

Lead the architecture and execution of production migrations from Azure or AWS to Google Cloud Platform.

Design scalable, secure, resilient, and cost-effective Google Cloud Platform architectures aligned with business and application requirements.

Define migration strategies for applications, databases, storage, caching, AI services, monitoring, and networking.

Architect zero-downtime data migration approaches, including dual-write patterns, data reconciliation, validation, rollback, and cutover strategies.

Design and evaluate LLM-based application architectures, including provider transitions and agent-orchestration frameworks.

Guide infrastructure engineering teams on Infrastructure-as-Code, CI/CD orchestration, deployment sequencing, and operational readiness.

Assess technical trade-offs, dependencies, risks, and migration options, presenting recommendations to technical and business stakeholders.

Lead architecture reviews and phase-gate discussions, ensuring that migration decisions meet reliability, security, performance, and business continuity requirements.

Evaluate emerging Google Cloud agent technologies, including the Agent Development Kit (ADK), to inform future-state architecture decisions.

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.
  • Dice Id: 10121915
  • Position Id: 2026-4774
  • Posted 2 hours ago
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