AI Gateway Cloud Engineer: Platform Security & Scalability

Motion Industries (MOT)

Alabama

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

Motion Industries is seeking an AI Gateway Cloud Engineer III to design, deploy, and operate secure, scalable AI gateway platforms across cloud and Kubernetes environments. You will integrate approved AI models and services through standardized gateways and automate provisioning and policy deployment.

You will collaborate with security, cloud, data, architecture, and application teams to define runbooks, SLAs, and continuous improvement while mentoring engineers in platform governance and cost

Qualifications

  • Typically requires a bachelor's degree and five to eight years of related experience or equivalent combination.
  • Experience with cloud services across platforms (GCP, Azure, AWS) and Kubernetes required.
  • Strong programming/scripting skills for automation and integration.

Responsibilities

  • Designs, deploys, and operates secure, scalable AI gateway platforms across cloud and Kubernetes environments.
  • Integrates approved AI models and services through standardized gateway interfaces and reusable patterns.
  • Automates provisioning, configuration, policy deployment, and release processes.
  • Implements model routing, failover, rate limits, token controls, and caching for reliability and cost efficiency.
  • Secures AI traffic via identity, encryption, and private connectivity; enforces guardrails and data protection.

Skills

Cloud architecture
Kubernetes
AI models integration
Platform automation
Security & governance
Monitoring & troubleshooting
Python
Scripting (Shell/PowerShell)

Education

Bachelor's degree

Tools

Terraform
Git
CI/CD pipelines

Job description

Motion Industries is seeking an AI Gateway Cloud Engineer III to design, deploy, and operate secure, scalable AI gateway platforms across cloud and Kubernetes environments. You will integrate approved AI models and services through standardized gateways and automate provisioning and policy deployment.

You will collaborate with security, cloud, data, architecture, and application teams to define runbooks, SLAs, and continuous improvement while mentoring engineers in platform governance and cost

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