Senior Google Cloud Architect
VDart Inc
Position: GCP Architect
Location: Milpitas, CA
Contract
Key Responsibilities
Cloud Architecture & Strategy
- Design and implement enterprise-grade cloud architectures on GCP.
- Define cloud adoption roadmaps, migration strategies, and modernization initiatives.
- Drive architecture reviews and ensure alignment with GCP 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 GCP 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
Preferred Certifications
- Google Professional Cloud Architect
- Google Professional Machine Learning Engineer
- Google Professional Data Engineer
- Google Professional Cloud DevOps Engineer
Desired Experience
- Enterprise cloud migration and modernization programs.
- AI/GenAI implementation for business transformation.
- Semiconductor, Manufacturing, Hi-Tech, Financial Services, or Retail industry experience.
- Multi-cloud exposure (AWS / Azure) is an added advantage.
- Experience working with global stakeholders and large-scale transformation programs.
Key Competencies
- Strategic Thinking
- Solution Architecture
- Technical Leadership
- Customer Engagement
- Problem Solving
- Innovation & AI Adoption
- Stakeholder Management
- Excellent Communication Skills
Vacancy posted 1 day ago
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