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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Google Cloud Architect - **Company:** SID Global Solutions - **Location:** Exton, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Elastic Compute Cloud, Application Frameworks, Application Integration Architecture, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Cyber Security, Continuous Integration, Data Architecture, Data Fusion, Data Governance, Data Infrastructure, Data Warehousing, DevOps, Identity and Access Management, Python (Programming Language), Node.Js, Software Engineering, Enterprise Search, Google Cloud, Cloud Platform System, ReactJS, Multi-Agent Systems, Apache Spark, Spring-boot, Software Security, Multi-Cloud, Generative AI, HybridCloud, Apigee, Togaf, Fastapi, Event Driven Architecture, Data Lakes, AI Platforms, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Enterprise Integration, Graphql, Cloud Migration, Virtual Agents, Api Gateway, Restful APIs, Terraform, Devsecops, Api Management, Docker, Microservices - **Published:** September 23, 2026 - **Apply:** https://www.dice.com/job-detail/6a3910c2-fa61-4732-ade0-677acd55dbe4 ## About the Role * 12+ years of experience in software engineering, cloud engineering, solution architecture, or enterprise architecture. * 7+ years of hands-on Google Cloud architecture and implementation experience. * Strong expertise in Google Cloud Platform, GKE, Cloud Run, Anthos, IAM, networking, security, and platform engineering. * Strong experience with BigQuery, Dataplex, Dataform, Pub/Sub, Spark, data lakes, data warehouses, and data governance. * Hands-on experience with Gemini Enterprise, Vertex AI, Generative AI, Agentic AI, RAG, AI Agents, and enterprise AI platforms. * Strong expertise in Apigee X/Hybrid, API Management, API Security, API Governance, and enterprise integration. * Experience with Kubernetes, Docker, Terraform, Infrastructure as Code, CI/CD, DevSecOps, and cloud automation. * Knowledge of enterprise architecture, application modernization, data architecture, integration architecture, and security architecture. * Strong communication, presentation, consulting, and stakeholder management skills. Preferred Skills * Google Cloud Professional Cloud Architect certification. * Google Cloud Data Engineer / AI Engineer certifications. * Apigee, TOGAF, CKA/CKAD certifications. * Experience with Java/Spring Boot, Python/FastAPI, REST APIs, GraphQL, React, Angular, or Node.js. * Experience working with enterprise customers across financial services, healthcare, retail, manufacturing, telecom, or public sector. * Experience building cloud accelerators, reusable frameworks, enterprise AI platforms, and modernization solutions. Key Technology Areas Google Cloud Platform: GKE, Cloud Run, Anthos, BigQuery, Dataplex, Pub/Sub, Cloud Storage, IAM AI: Gemini Enterprise, Vertex AI, GenAI, Agentic AI, RAG, AI Agents API & Integration: Apigee X, Apigee Hybrid, API Gateway, Microservices Data: BigQuery, Dataform, Datastream, Data Fusion, Spark, Data Governance Platform: Kubernetes, Docker, Terraform, CI/CD, DevSecOps, Observability ## Description * Design and implement secure, scalable, highly available Google Cloud Platform architectures for enterprise customers. * Lead cloud migration, modernization, hybrid-cloud, and multi-cloud transformation initiatives. * Architect cloud-native platforms using GKE, Cloud Run, Anthos, Compute Engine, Cloud Storage, IAM, and Google Cloud Platform networking/security services. * Design modern data platforms using BigQuery, Dataplex, Dataform, Datastream, Data Fusion, Pub/Sub, and Apache Spark. * Develop GenAI and Agentic AI solutions using Gemini Enterprise, Gemini, Vertex AI, RAG, AI Agents, Enterprise Search, and multi-agent architectures. * Lead API and integration architecture using Apigee X, Apigee Hybrid, API Gateway, microservices, event-driven architecture, and API security. * Define architecture standards, reference architectures, reusable frameworks, and cloud engineering best practices. * Support DevOps, platform engineering, Infrastructure as Code, CI/CD, DevSecOps, monitoring, and observability initiatives. * Lead architecture workshops, technical discussions, solution design sessions, and proof-of-concepts with customers. * Partner with CIOs, CTOs, architects, engineering leaders, and business stakeholders to define technology strategies and roadmaps. * Mentor cloud architects, engineers, AI specialists, data engineers, and integration teams. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) ## Related Articles - [Got AI ideas but no money? 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