Google Cloud Platform Architect

TechAffinity Inc
McKinley Township, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
McKinley Township, United States of America

Tech stack

Java
Artificial Intelligence
Application Layers
Cloud Computing
Cloud Computing Security
Cloud Engineering
Cloud Storage
Continuous Integration
DevOps
Github
Identity and Access Management
Cloud Services
Azure
Software Engineering
Google Cloud Platform
Enterprise Software Applications
Spring-boot
Build Server
Amazon Web Services (AWS)
AI Platforms
Gitlab-ci
Kubernetes
Information Technology
Deployment Automation
Enterprise Integration
Machine Learning Operations
Cloud Migration
REST
Terraform
Docker
Jenkins
Microservices

Job description

We 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., * 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 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 Skills

Cloud & Infrastructure

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

DevOps & Automation

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

AI / Data Exposure

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

Application Development

  • Strong prior hands-on experience in Java
  • Spring Boot / Microservices architecture
  • REST APIs
  • Application modernization and cloud migration experience, The ideal consultant is a hands-on architect who can:
  • Drive cloud architecture decisions
  • Support AI initiatives
  • Lead DevOps transformation efforts
  • Work directly with developers when needed
  • Contribute technically across infrastructure and application layers

Requirements

  • 12+ 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, * 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

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