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Lead Google Cloud Platform Cloud Migration Architect GenAI & Application Modernization

Kutir IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
AWSGoogle CloudLLMGenerative AIAzureCI/CD

Job description

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.

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