Job
Description
As a Senior GCP IT Architect for our client, a globally recognized service provider of outsourced warehousing solutions, your role will involve designing and implementing cutting-edge cloud architectures using Google Cloud Platform (GCP). With your 10+ years of IT experience and expertise in GKE, App Engine, Cloud Run, Cloud Functions, and advanced databases such as AlloyDB, Cloud Spanner, and Cloud SQL, you will play a crucial role in guiding global teams to create secure, scalable, and high-performing deployments. **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 and implement new GCP services and capabilities for competitive advantage. - **Application Deployment Strategy:** Architect deployment models for optimal performance and cost using App Engine, Cloud Run, and Cloud Functions. - **DevOps Integration:** Establish CI/CD pipelines and workflows for continuous delivery. - **Database Architecture:** Design high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL. - **Security & Compliance:** Implement security measures using IAM, VPC Service Controls, encryption, and compliance frameworks. - **AI Integration:** Embed intelligence into core applications using Google Vertex AI, NLP APIs, and other AI tools. - **Performance Optimization:** Conduct architecture reviews, performance testing, and cost optimization. - **Technical Guidance:** Collaborate with cross-functional 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. - Experience embedding AI/ML capabilities into cloud-native applications. - Up-to-date on GCP security best practices and compliance requirements. - Excellent communication skills for working with global, distributed teams. As a Senior GCP IT Architect for our client, a globally recognized service provider of outsourced warehousing solutions, your role will involve designing and implementing cutting-edge cloud architectures using Google Cloud Platform (GCP). With your 10+ years of IT experience and expertise in GKE, App Engine, Cloud Run, Cloud Functions, and advanced databases such as AlloyDB, Cloud Spanner, and Cloud SQL, you will play a crucial role in guiding global teams to create secure, scalable, and high-performing deployments. **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 and implement new GCP services and capabilities for competitive advantage. - **Application Deployment Strategy:** Architect deployment models for optimal performance and cost using App Engine, Cloud Run, and Cloud Functions. - **DevOps Integration:** Establish CI/CD pipelines and workflows for continuous delivery. - **Database Architecture:** Design high-performance data models on AlloyDB, Cloud Spanner, and Cloud SQL. - **Security & Compliance:** Implement security measures using IAM, VPC Service Controls, encryption, and compliance frameworks. - **AI Integration:** Embed intelligence into core applications using Google Vertex AI, NLP APIs, and other AI tools. - **Performance Optimization:** Conduct architecture reviews, performance testing, and cost optimization. - **Technical Guidance:** Collaborate with cross-functional 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. - Experience embedding AI/ML capabilities into cloud-native applications. - Up-to-date on GCP security best practices and compliance requirements. -
