{"schemaVersion":"jobsearcher.job.v1","id":"034befae6faceda4d1ca7e46","url":"https://jobsearcher.com/jobs/034befae6faceda4d1ca7e46","canonicalUrl":"https://jobsearcher.com/jobs/034befae6faceda4d1ca7e46","title":"Senior Google Cloud Architect","description":"Job Title - Senior Google Cloud Architect Google Cloud Platform (GCP) & AI ServicesLocation Milpitas, CA (Onsite/Hybrid)Primary - GKE cluster with TPUs configurationExperience10+ 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 SummaryWe 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 ResponsibilitiesCloud Architecture & StrategyDesign 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 SolutionsArchitect 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 & AnalyticsDesign 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 & GovernanceEstablish 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 ManagementAct 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 SkillsGoogle Cloud PlatformGoogle Compute Engine (GCE)Google Kubernetes Engine (GKE)Cloud RunCloud FunctionsVPC, Networking & Load BalancingCloud StorageCloud SQLBig QueryPub/SubCloud Monitoring & LoggingIAM & Security ServicesTerraform / Infrastructure as CodeGoogle AI & Machine Learning ServicesVertex AIVertex AI StudioGemini ModelsAutoMLAI PlatformDocument AIVision AISpeech-to-TextNatural Language AIAI Agents & Conversational AIGenerative AILarge Language Models (LLMs)Prompt EngineeringRAG ArchitecturesVector DatabasesAI Agents & Agentic FrameworksLangChain / Similar AI Orchestration FrameworksDevOps & AutomationCI/CD PipelinesGitHub / GitLabCloud BuildDockerKubernetesMLOps PracticesProgramming LanguagesPython (Mandatory)Java or Go (Preferred)SQLPreferred CertificationsGoogle Professional Cloud ArchitectGoogle Professional Machine Learning EngineerGoogle Professional Data EngineerGoogle Professional Cloud DevOps EngineerDesired ExperienceEnterprise 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 CompetenciesStrategic ThinkingSolution ArchitectureTechnical LeadershipCustomer EngagementProblem SolvingInnovation & AI AdoptionStakeholder ManagementExcellent Communication Skills","company":"Noblesoft Technologies","rawCompany":"noblesoft technologies","city":"Milpitas","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-17T08:08:29.611Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Google Cloud Architect","description":"Job Title - Senior Google Cloud Architect Google Cloud Platform (GCP) & AI ServicesLocation Milpitas, CA (Onsite/Hybrid)Primary - GKE cluster with TPUs configurationExperience10+ 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 SummaryWe 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 ResponsibilitiesCloud Architecture & StrategyDesign 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 SolutionsArchitect 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 & AnalyticsDesign 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 & GovernanceEstablish 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 ManagementAct 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 SkillsGoogle Cloud PlatformGoogle Compute Engine (GCE)Google Kubernetes Engine (GKE)Cloud RunCloud FunctionsVPC, Networking & Load BalancingCloud StorageCloud SQLBig QueryPub/SubCloud Monitoring & LoggingIAM & Security ServicesTerraform / Infrastructure as CodeGoogle AI & Machine Learning ServicesVertex AIVertex AI StudioGemini ModelsAutoMLAI PlatformDocument AIVision AISpeech-to-TextNatural Language AIAI Agents & Conversational AIGenerative AILarge Language Models (LLMs)Prompt EngineeringRAG ArchitecturesVector DatabasesAI Agents & Agentic FrameworksLangChain / Similar AI Orchestration FrameworksDevOps & AutomationCI/CD PipelinesGitHub / GitLabCloud BuildDockerKubernetesMLOps PracticesProgramming LanguagesPython (Mandatory)Java or Go (Preferred)SQLPreferred CertificationsGoogle Professional Cloud ArchitectGoogle Professional Machine Learning EngineerGoogle Professional Data EngineerGoogle Professional Cloud DevOps EngineerDesired ExperienceEnterprise 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 CompetenciesStrategic ThinkingSolution ArchitectureTechnical LeadershipCustomer EngagementProblem SolvingInnovation & AI AdoptionStakeholder ManagementExcellent Communication Skills","datePosted":"2026-09-17T08:08:29.611Z","dateModified":"2026-09-17T08:08:29.611Z","hiringOrganization":{"@type":"Organization","name":"Noblesoft Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"034befae6faceda4d1ca7e46"},"url":"https://jobsearcher.com/jobs/034befae6faceda4d1ca7e46"}}