Google Cloud Platform Architect

As a Senior GCP IT Architect for our client, a globally recognized service provider of outsourced warehousing solutions, your primary responsibility will be to design and oversee the implementation of end-to-end GCP architectures for large-scale enterprise logistics platforms. With over 10 years of IT experience and a focus on cloud architecture, you will play a crucial role in leveraging Google Cloud Platform (GCP), microservices architecture, and AI-driven capabilities to build a next-generation Warehouse-as-a-Service platform. Key Responsibilities: - Cloud Architecture Ownership: Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms. - GKE & Microservices Expertise: Define Google Kubernetes Engine 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 using App Engine, Cloud Run, and Cloud Functions for optimal performance and cost. - DevOps Integration: Establish CI/CD pipelines using Gemini Code Assist, CLI tools, and Git workflows to enable 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, encryption, and compliance frameworks. - 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 on a regular basis. - Technical Guidance: Collaborate with front-end, back-end, and DevOps 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. - Expertise in AlloyDB, Cloud Spanner, and Cloud SQL database solutions. - Knowledge of latest GCP services, AI/ML tools, and modern architecture patterns. - Proficiency in API architecture, service integration, and distributed system design. - Strong grasp of Git, DevOps automation, and CI/CD pipelines. - 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. As a Senior GCP IT Architect for our client, a globally recognized service provider of outsourced warehousing solutions, your primary responsibility will be to design and oversee the implementation of end-to-end GCP architectures for large-scale enterprise logistics platforms. With over 10 years of IT experience and a focus on cloud architecture, you will play a crucial role in leveraging Google Cloud Platform (GCP), microservices architecture, and AI-driven capabilities to build a next-generation Warehouse-as-a-Service platform. Key Responsibilities: - Cloud Architecture Ownership: Design, document, and implement end-to-end GCP architectures for large-scale, enterprise logistics platforms. - GKE & Microservices Expertise: Define Google Kubernetes Engine 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 using App Engine, Cloud Run, and Cloud Functions for optimal performance and cost. - DevOps Integration: Establish CI/CD pipelines using Gemini Code Assist, CLI tools, and Git workflows to enable 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, encryption, and compliance frameworks. - 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 on a regular basis. - Technical Guidance: Collaborate with front-end, back-end, and DevOps 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 Functio