Google Cloud Platform Architect

As a Senior GCP IT Architect at our client's US-based company specializing in outsourced warehousing solutions, your role will involve designing and overseeing the implementation of enterprise-grade cloud solutions on Google Cloud Platform (GCP). You will be responsible for working closely with global teams to ensure secure, scalable, and high-performing deployments. **Role Overview:** You will be playing a hands-on architecture role, utilizing your expertise in GKE, App Engine, Cloud Run, Cloud Functions, microservices, and advanced databases to build a next-generation Warehouse-as-a-Service platform on GCP. Your main tasks will include cloud architecture ownership, GKE & microservices expertise, latest GCP adoption, application deployment strategy, DevOps integration, database architecture, security & compliance, AI integration, performance optimization, and technical guidance. **Key Responsibilities:** - **Cloud Architecture Ownership:** Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms. - **GKE & Microservices Expertise:** Define GKE architecture, service mesh, scaling policies, and microservices deployment patterns. - **Latest GCP Adoption:** Evaluate, recommend, and implement new GCP services and capabilities for competitive advantage. - **Application Deployment Strategy:** Architect deployment models for optimal performance and cost. - **DevOps Integration:** Establish CI/CD pipelines using CLI tools and Git workflows for continuous delivery. - **Database Architecture:** Design resilient, high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL. - **Security & Compliance:** Build security into the architecture using IAM, VPC Service Controls, and encryption. - **AI Integration:** Leverage Google Vertex AI, NLP APIs, and other AI tools to embed intelligence into core applications. - **Performance Optimization:** Conduct architecture reviews, performance testing, and cost optimization regularly. - **Technical Guidance:** Collaborate with teams to ensure adherence to architecture principles. **Qualifications Required:** - 10+ years in IT, with 5+ years in cloud architecture and 3+ years on GCP. - Proven success in designing GKE-based microservices for production at scale. - Strong experience with App Engine, Cloud Run, and Cloud Functions. - Proficiency in API architecture, service integration, and distributed system design. - Up-to-date on GCP security best practices and compliance requirements. - Excellent communication skills for working with global, distributed teams. - Experience in Green Field implementation. - Experience in Big data frameworks, Spark, Python SQL. - Experience in Medallion architecture, Data Modelling, Data streaming solutions. - Experience in LLM, Open AI Integration (or) Vertex AI is a big plus. - Experience in any visualization tools (PowerBI, Qlik) is a plus. This role is based in Chennai and offers an exciting opportunity to work with cutting-edge technologies and make a significant impact on the company's cloud architecture. (Note: Company additional details omitted as not provided in the JD) As a Senior GCP IT Architect at our client's US-based company specializing in outsourced warehousing solutions, your role will involve designing and overseeing the implementation of enterprise-grade cloud solutions on Google Cloud Platform (GCP). You will be responsible for working closely with global teams to ensure secure, scalable, and high-performing deployments. **Role Overview:** You will be playing a hands-on architecture role, utilizing your expertise in GKE, App Engine, Cloud Run, Cloud Functions, microservices, and advanced databases to build a next-generation Warehouse-as-a-Service platform on GCP. Your main tasks will include cloud architecture ownership, GKE & microservices expertise, latest GCP adoption, application deployment strategy, DevOps integration, database architecture, security & compliance, AI integration, performance optimization, and technical guidance. **Key Responsibilities:** - **Cloud Architecture Ownership:** Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms. - **GKE & Microservices Expertise:** Define GKE architecture, service mesh, scaling policies, and microservices deployment patterns. - **Latest GCP Adoption:** Evaluate, recommend, and implement new GCP services and capabilities for competitive advantage. - **Application Deployment Strategy:** Architect deployment models for optimal performance and cost. - **DevOps Integration:** Establish CI/CD pipelines using CLI tools and Git workflows for continuous delivery. - **Database Architecture:** Design resilient, high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL. - **Security & Compliance:** Build security into the architecture using IAM, VPC Service Controls, and encryption. - **AI Integration:** Leverage Google Vertex AI, NLP APIs, and other AI to