AI Cloud Architect: Terraform, Kubernetes & Automation (Remote)

ITCO Solutions, Inc.; San Jose (CA); Remote; USD 180,000 - 230,000; Full time

Job summary

ITCO Solutions, Inc. is seeking an AI Cloud Expert Architect to lead architecture, design, and automation of an enterprise cloud platform and security framework.

You will drive cloud landing zones, IaC libraries, and intelligent agentic workflows spanning security and networking platforms. The role demands enterprise-scale Terraform, resilient CI/CD, automated security mapping, and compensating controls across AWS and Azure, with Kubernetes-based deployments and Python automation.

Qualifications

• 8+ years of hands-on cloud infrastructure or architecture.
• Deep expertise in AWS (preferred) or Azure.
• 5+ years Terraform development, including custom modules.
• 4+ years CI/CD design with DevOps tools.
• Experience integrating security and networking platforms into automated cloud workflows.

Responsibilities

• Lead evolution of enterprise cloud landing zone architectures in AWS (preferred) or Azure.
• Design and implement cloud networking strategies including segmentation and private endpoints.
• Build and maintain Terraform module libraries with secure-by-default standards.
• Design and implement multi-stage CI/CD pipelines using Azure DevOps, GitHub Actions, or similar.
• Incorporate policy-as-code, automated validation, compliance enforcement, and drift detection.

Skills

AWS

Azure

Terraform

CI/CD pipelines

Kubernetes

Python

Bedrock

LLMs

Security automation

Policy as code

Networking

Education

Bachelor's degree in Computer Science or related field

Tools

Tenable

Infoblox

OPA/Rego

Azure Policy

Job description

ITCO Solutions, Inc. is seeking an AI Cloud Expert Architect to lead architecture, design, and automation of an enterprise cloud platform and security framework.

You will drive cloud landing zones, IaC libraries, and intelligent agentic workflows spanning security and networking platforms. The role demands enterprise-scale Terraform, resilient CI/CD, automated security mapping, and compensating controls across AWS and Azure, with Kubernetes-based deployments and Python automation.