AI Platform DevOps Architect — GKE, Terraform, CI/CD

Jobtailor

Houston (TX)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

GXO is seeking an experienced Platform Engineer to establish and run the enterprise DevOps model for the Agentic AI Platform. You will design secure CI/CD pipelines, manage Kubernetes-based platform capabilities on GKE, and own Terraform infrastructure across dev, test, staging, and production.

You will partner with senior architects and security teams to ensure reliability, governance, and rapid developer enablement, delivering scalable automation and observability at scale.

Qualifications

  • BS/YS in CS, Engineering, IT, or related field or equivalent hands-on exp.
  • Google Cloud DevOps certification recommended/required.
  • 8+ years in platform engineering, DevOps, SRE, or cloud delivery.
  • 5+ years with GCP and production workloads; Kubernetes expertise.
  • Deep Terraform experience with modules, state, and drift control.
  • Proficient CI/CD design across multiple tools; security-minded.

Responsibilities

  • Define and operate enterprise DevOps model for GXO Agentic AI Platform.
  • Design, build, and manage secure CI/CD pipelines for AI platform services.
  • Engineer Kubernetes platform capabilities on GKE; implement autoscaling and policies.
  • Own Terraform delivery and enforce policy guardrails across environments.
  • Collaborate with architects and security to translate standards into automation.
  • Build observability; manage runbooks, incidents, and release readiness.

Skills

CI/CD Standards
Kubernetes Operations
Terraform Modules
Cloud Build
GitHub Actions
DevSecOps Practices
Incident Response
Technical Communication

Education

Bachelor's degree

Tools

GKE
Helm
Kustomize
Terraform
CI/CD tools (Cloud Build, GitHub Actions, GitLab CI, Azure DevOps, Jenkins)

Job description

GXO is seeking an experienced Platform Engineer to establish and run the enterprise DevOps model for the Agentic AI Platform. You will design secure CI/CD pipelines, manage Kubernetes-based platform capabilities on GKE, and own Terraform infrastructure across dev, test, staging, and production.

You will partner with senior architects and security teams to ensure reliability, governance, and rapid developer enablement, delivering scalable automation and observability at scale.

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