Senior Google Cloud Architect

Noblesoft Technologies Inc.; Milpitas (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Noblesoft Technologies Inc. is seeking a Senior Google Cloud Architect to lead cloud transformation on Google Cloud Platform (GCP) and drive AI initiatives. You will design scalable architectures, guide migrations, and provide technical leadership across cross-functional teams.

The role emphasizes deep expertise in GCP services, data platforms, MLOps, security, governance, and enterprise-scale Generative AI deployment.

Qualifications

• 10+ years of IT experience with 6+ years on Google Cloud Platform (GCP).
• Proven ability to design and operate enterprise-scale cloud and AI solutions.
• Strong leadership and collaboration across multi-disciplinary teams.

Responsibilities

• Design and implement enterprise-grade cloud architectures on GCP.
• Lead AI/ML initiatives, governance, and model lifecycle monitoring.
• Define roadmaps for migration, modernization, and cost optimization.
• Mentor engineers and support pre-sales with customer workshops.

Skills

GKE

GCE

Kubernetes

Terraform

Python

SQL

Docker

Tools

Vertex AI

AutoML

BigQuery

Pub/Sub

Cloud Run

IAM

Job description

Job Title - Senior Google Cloud Architect Google Cloud Platform (GCP) & AI Services

Location Milpitas, CA (Onsite/Hybrid)

Primary - GKE cluster with TPUs configuration

Experience

10+ years of overall IT experience with 6+ years in Google Cloud Platform (GCP) and proven expertise in designing, deploying, and operating enterprise-scale cloud and AI solutions.

Job Summary

We are seeking a highly experienced Senior Google Cloud Architect to lead cloud transformation, modernization, and AI initiatives on Google Cloud Platform (GCP). 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 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