Opening for Senior Google Cloud Platform Architect (AI / DevOps / Application Development) - C2H

Job Description — Senior Google Cloud Platform Architect (AI / DevOps / Application Development)Location: Remote / Hybrid in MN, USAEmployment Type: Contract / Full-TimeExperience Level: Senior / Lead ArchitectPosition SummaryWe are looking for a highly experienced Senior Google Cloud Platform Architect with deep expertise in AI-focused cloud solutions, DevOps engineering, Kubernetes platform management, and enterprise application development. The ideal candidate must have a strong background in Google Cloud Platform (Google Cloud Platform), hands-on experience with GKE, modern CI/CD practices, and prior Java application development experience to support engineering teams end-to-end.This role requires someone who can architect scalable cloud-native solutions, guide AI/ML platform initiatives, and collaborate closely with development and infrastructure teams.Mandatory Requirements12+ years of overall IT experience 5+ years of strong hands-on experience in Google Cloud Platform (Google Cloud Platform) Strong expertise in Google Kubernetes Engine (GKE) Proven experience supporting or architecting AI/ML-focused solutions Strong DevOps and cloud engineering background Prior hands-on Java application development experience Excellent communication and leadership skills Key ResponsibilitiesArchitect and design enterprise-grade cloud-native solutions on Google Cloud Platform Lead Kubernetes/GKE platform architecture, deployment, and optimization Support AI/ML infrastructure initiatives and scalable AI platform integrations Build and optimize CI/CD pipelines and DevOps automation processes Work closely with development teams on Java-based application modernization Implement cloud security, observability, governance, and cost optimization strategies Guide engineering teams on cloud best practices and platform reliability Troubleshoot complex infrastructure and application issues across environments Collaborate with cross-functional teams including DevOps, AI/ML, security, and application engineering Required Technical SkillsCloud & InfrastructureGoogle Cloud Platform (Google Cloud Platform) GKE (Google Kubernetes Engine) Compute Engine Cloud Storage VPC Networking IAM & Security Cloud Operations / Monitoring DevOps & AutomationKubernetes Docker Terraform / Infrastructure as Code CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Cloud Build) Helm ArgoCD preferred AI / Data ExposureAI/ML platform integration experience Exposure to Vertex AI or similar AI services preferred Experience supporting scalable AI workloads in cloud environments Application DevelopmentStrong prior hands-on experience in Java Spring Boot / Microservices architecture REST APIs Application modernization and cloud migration experience Preferred QualificationsGoogle Cloud Platform Professional Cloud Architect Certification Experience in highly regulated enterprise environments Strong understanding of cloud security and compliance Experience mentoring engineering teams and architects Ideal Candidate ProfileThe Ideal Consultant Is a Hands-on Architect Who CanDrive cloud architecture decisions Support AI initiatives Lead DevOps transformation efforts Work directly with developers when needed Contribute technically across infrastructure and application layers