Senior Google Cloud Platform Architect; AI​/DevOps​/Application Development - C2H

Senior Google Cloud Platform Architect (AI / Dev Ops / Application Development)

Location: Remote / Hybrid in MN, USA

Employment Type: Contract / Full-Time

Experience Level: Senior / Lead Architect

We are looking for a highly experienced Senior Google Cloud Platform Architect with deep expertise in AI-focused cloud solutions, Dev Ops engineering, Kubernetes platform management, and enterprise application development
. The ideal candidate must have a strong background in 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.

• 12+ years of overall IT experience
• 5+ years of strong hands‑on experience in Google Cloud Platform
• Strong expertise in Google Kubernetes Engine (GKE)
• Proven experience supporting or architecting AI/ML-focused solutions
• Strong Dev Ops and cloud engineering background
• Prior hands‑on Java application development experience
• Excellent communication and leadership skills

• Architect 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 Dev Ops 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 Dev Ops, AI/ML, security, and application engineering

• Google Cloud Platform
• GKE (Google Kubernetes Engine)
• Compute Engine
• Cloud Storage
• VPC Networking
• IAM & Security
• Cloud Operations / Monitoring

• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• CI/CD tools (Jenkins, Git Hub Actions, Git Lab CI, Cloud Build)
• Helm
• ArgoCD (preferred)

• AI/ML platform integration experience
• Exposure to Vertex AI or similar AI services (preferred)
• Experience supporting scalable AI workloads in cloud environments

• Strong prior hands‑on experience in Java
• Spring Boot / Microservices architecture
• REST APIs
• Application modernization and cloud migration experience

• Google 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

• Drive cloud architecture decisions
• Support AI initiatives
• Lead Dev Ops transformation efforts
• Work directly with developers when needed
• Contribute technically across infrastructure and application layers