AI Gateway Cloud Engineer – Secure, Scalable Platform

USA MOT Motion Industries, Inc.; Alton (IL); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Healthcare coverage

401(k)

Tuition reimbursement

Vacation, sick, and holiday pay

Job summary

Motion is seeking an AI Gateway Cloud Engineer III to design, deploy, and operate secure AI gateway platforms across cloud and Kubernetes environments. You will automate provisioning, configuration, policy deployment, and releases while ensuring secure, scalable, and cost-efficient operations.

Responsibilities include model routing, traffic controls, monitoring, and incident resolution, with mentoring of engineers and collaboration across security, cloud, data, and architecture teams.

Qualifications

• Typically requires a bachelor's degree and five (5) to eight (8) years of related experience or an equivalent combination.
• Experience with cloud and Kubernetes environments.
• Experience integrating AI models via gateway interfaces.

Responsibilities

• Designs, deploys, and operates secure, scalable AI gateway platforms across cloud and Kubernetes environments.
• Automates platform provisioning, configuration, policy deployment, and release processes.
• Implements model routing, failover, rate limits, token controls, and caching to improve reliability, performance, and cost efficiency.
• Secures AI traffic using identity, access, encryption, credential protection, private connectivity, and policy-based controls.
• Establishes monitoring and alerting for requests, tokens, latency, errors, model usage, costs, and policy enforcement.

Skills

AI gateway architecture

Cloud services (GCP, Azure, AWS)

Platform automation

Python

Scripting (Linux shell, PowerShell)

Troubleshooting

Mentoring engineers

Cross-team collaboration

Education

Bachelor's degree

Tools

Kubernetes

GCP

Azure

AWS

Job description

Motion is seeking an AI Gateway Cloud Engineer III to design, deploy, and operate secure AI gateway platforms across cloud and Kubernetes environments. You will automate provisioning, configuration, policy deployment, and releases while ensuring secure, scalable, and cost-efficient operations.

Responsibilities include model routing, traffic controls, monitoring, and incident resolution, with mentoring of engineers and collaboration across security, cloud, data, and architecture teams.