Google Cloud Architect
Laiba Technologies LLC
- Job
- 29365
- Posted
- Location
- Milpitas, CA
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- Java
- SQL
- Python
- Terraform
- Kubernetes
- Docker
- GitLab
- CI/CD
- IAM
- Requirements
- Machine Learning
- MLOps
About the job
Title :Google Cloud Architect
Location: Milpitas, CA (Onsite)
Primary - GKE cluster with TPUs configuration
Google Cloud Platform (Google Cloud Platform) & AI Services
10+ years of overall IT experience with 6+ years in Google Cloud Platform (Google Cloud Platform) and proven expertise in designing, deploying, and operating enterprise-scale cloud and AI solutions.
Google Cloud Architect to lead cloud transformation, modernization, and AI initiatives on Google Cloud Platform (Google Cloud Platform). The candidate will be responsible for designing scalable cloud architectures, enabling AI-driven business solutions, guiding migration and modernization programs, and providing technical leadership across multi-disciplinary teams.
The ideal candidate should possess deep expertise in Google Cloud services, cloud-native architectures, data and AI platforms, MLOps, security, governance, and enterprise-scale implementation of Generative AI solutions.
Key Responsibilities
Cloud Architecture & Strategy
Design and implement enterprise-grade cloud architectures on Google Cloud Platform.
Define cloud adoption roadmaps, migration strategies, and modernization initiatives.
Drive architecture reviews and ensure alignment with Google Cloud Platform best practices and Well-Architected Framework principles.
Provide technical leadership for cloud-native application development and modernization.
AI & Machine Learning Solutions
Architect and deploy AI/ML solutions leveraging Google Cloud AI services.
Design Generative AI, LLM, RAG (Retrieval-Augmented Generation), and intelligent automation platforms.
Implement AI governance, responsible AI practices, model lifecycle management, and monitoring.
Collaborate with business stakeholders to identify and deliver AI-powered use cases.
Data & Analytics
Design modern data platforms using Google Cloud Platform data services.
Implement scalable data pipelines, data lakes, and analytics solutions.
Enable AI and machine learning workloads through robust data architectures.
Security & Governance
Establish cloud security, compliance, identity management, and governance controls.
Ensure adherence to enterprise security standards and regulatory requirements.
Drive cost optimization, operational excellence, and reliability initiatives.
Leadership & Stakeholder Management
Act as a trusted advisor for customers and leadership teams.
Mentor architects, engineers, and cloud practitioners.
Support pre-sales activities, solution proposals, and customer workshops.
Lead cross-functional teams and oversee successful program execution.
Mandatory Technical Skills
Google Cloud Platform
Google Compute Engine (GCE)
Google Kubernetes Engine (GKE)
Cloud Run
Cloud Functions
VPC, Networking & Load Balancing
Cloud Storage
Cloud SQL
Big Query
Pub/Sub
Cloud Monitoring & Logging
IAM & Security Services
Terraform / Infrastructure as Code
Google AI & Machine Learning Services
Vertex AI
Vertex AI Studio
Gemini Models
AutoML
AI Platform
Document AI
Vision AI
Speech-to-Text
Natural Language AI
AI Agents & Conversational AI
Generative AI
Large Language Models (LLMs)
Prompt Engineering
RAG Architectures
Vector Databases
AI Agents & Agentic Frameworks
LangChain / Similar AI Orchestration Frameworks
DevOps & Automation
CI/CD Pipelines
GitHub / GitLab
Cloud Build
Docker
Kubernetes
MLOps Practices
Programming Languages
Python (Mandatory)
Java or Go (Preferred)
SQL