Senior AI Platform DevOps Engineer

GXO Logistics

United States

Remote

USD 140,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k)
Life insurance
Disability insurance
Incentive plan

Job summary

GXO Logistics is seeking a Senior DevOps AI Platform Engineer to establish and scale the enterprise DevOps model for the Agentic AI Platform. You will build secure, automated CI/CD pipelines and operate Kubernetes-based platform capabilities on GKE, with Terraform-based infrastructure delivery and strong collaboration with cloud and security teams.

The role focuses on enabling AI application delivery, platform reliability, and developer productivity in a fast-growing environment.

Qualifications

  • Bachelor's degree in CS/Engineering or related field; equivalent hands-on exp considered.
  • Google Cloud Professional DevOps Engineer certification required.
  • Minimum of 8 years in platform engineering, DevOps or Site Reliability.

Responsibilities

  • Establish and scale the enterprise DevOps operating model for GXO's AI Platform.
  • Design, build, and manage secure, repeatable CI/CD pipelines for AI platform infra.
  • Operate Kubernetes-based platform capabilities on GKE; manage deployments, autoscaling, security.
  • Develop reusable Terraform modules; manage state and policy guardrails.
  • Collaborate with Cloud AI Platform Architects to translate ADRs into automated processes.
  • Ensure observability and reliability across deployments; maintain runbooks and SLIs.

Skills

DevOps
Kubernetes
CI/CD
Terraform
GKE
Cloud platforms
Automation
Secure engineering

Education

Bachelor's degree
Google Cloud Professional DevOps Engineer

Tools

Google Cloud Platform
Kubernetes
Terraform
CI/CD pipelines
Helm
Kustomize

Job description

GXO Logistics is seeking a Senior DevOps AI Platform Engineer to establish and scale the enterprise DevOps model for the Agentic AI Platform. You will build secure, automated CI/CD pipelines and operate Kubernetes-based platform capabilities on GKE, with Terraform-based infrastructure delivery and strong collaboration with cloud and security teams.

The role focuses on enabling AI application delivery, platform reliability, and developer productivity in a fast-growing environment.

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