Senior AI Platform Engineer: Secure, Scalable Cloud Ops

Jobtailor; Richardson (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced Cloud Platform Engineer to own deployment patterns for responsible AI agents and scalable platform capabilities. You will automate buildouts, releases, and environment provisioning while maintaining secure, observable AI services.

You will partner with InfoSec, CloudOps, and DevOps to ensure governance, guardrails, and robust production readiness across our cloud environments (GCP/AWS).

Qualifications

• 8 to 10 years of engineering experience with 7+ years on production cloud systems.
• Hands-on AI/ML service deployment in production environments.
• Strong cloud and automation tooling experience (GCP/AWS, Terraform, Helm).

Responsibilities

• Define standards-based deployment patterns for responsible AI agents and secure runtimes.
• Automate platform buildout, release standardization, and environment provisioning.
• Operate reliable AI platform services with incident response and observability.
• Collaborate across teams to ensure governance, guardrails, and production readiness.

Skills

AI/ML Service Deployment

Cloud Platform Engineering

Terraform and Helm

Authentication and Authorization

Scripting and Automation

Tools

GCP

AWS

Docker

Kubernetes

GitHub Actions

OpenTelemetry

CI/CD

Linux

RBAC

IAM

Job description

Jobtailor is seeking an experienced Cloud Platform Engineer to own deployment patterns for responsible AI agents and scalable platform capabilities. You will automate buildouts, releases, and environment provisioning while maintaining secure, observable AI services.

You will partner with InfoSec, CloudOps, and DevOps to ensure governance, guardrails, and robust production readiness across our cloud environments (GCP/AWS).