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

TAFF Inc; Minneapolis (MN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

TAFF Inc is looking for a Senior Google Cloud Platform Architect for a remote/hybrid role in Minnesota, USA. This position requires expertise in AI-focused cloud solutions and strong experience in DevOps engineering, especially with Google Kubernetes Engine and Google Cloud Platform.

The ideal candidate will oversee the development of cloud-native solutions, lead AI/ML initiatives, and work closely with application development teams on Java-based projects. Strong leadership skills and significant IT experience are essential.

Qualifications

• 12+ years of overall IT experience.
• 5+ years of experience in Google Cloud Platform.
• Strong expertise in Google Kubernetes Engine (GKE).
• Proven experience architecting AI/ML-focused solutions.
• Excellent communication and leadership skills.

Responsibilities

• Architect enterprise-grade cloud-native solutions.
• Lead Kubernetes/GKE platform architecture and optimization.
• Support AI/ML initiatives and scalable AI integrations.
• Build and optimize CI/CD pipelines.
• Guide engineering teams on cloud best practices.

Skills

Google Cloud Platform

GKE (Google Kubernetes Engine)

Java application development

DevOps engineering

AI/ML platform integration

CI/CD tools

Cloud security

Education

Google Cloud Platform Professional Cloud Architect Certification

Tools

Docker

Terraform

Spring Boot

Job description

Senior Google Cloud Platform Architect (AI / DevOps / 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, DevOps 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.

Mandatory Requirements

• 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 DevOps and cloud engineering background
• Prior hands‑on Java application development experience
• Excellent communication and leadership skills

Key Responsibilities

• 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
• 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

Preferred Qualifications

• 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

Ideal Candidate Profile

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