Senior DevOps AI Platform Engineer
Listed on 2026-08-08
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Continue to Grow with GXO.
At GXO, we know our greatest asset is people like you - energetic, innovative people of all experience levels and talents who make GXO a great place to work. Your career matters to us because your passion and excitement will help keep our company moving forward.
Senior Dev Ops AI Platform EngineerAre you ready to take your career to the next level with a rapidly growing global company? As a Senior Dev Ops Platform Engineer, you will establish and scale the enterprise Dev Ops operating model for GXO's Agentic AI Platform. This role is responsible for building secure, automated, and scalable cloud platform capabilities that enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems.
You'll partner closely with Cloud Engineering, Platform Architecture, Security, and Product teams to drive developer productivity, platform reliability, and operational excellence. If you're looking for an opportunity to make a significant impact on enterprise AI infrastructure, join us at GXO.
At GXO, we know our greatest asset is people like you - energetic, innovative people of all experience levels and talents who make GXO a great place to work. Your career matters to us because your passion and excitement will help keep our company moving forward.
Senior Dev Ops AI Platform EngineerAre you ready to take your career to the next level with a rapidly growing global company? As a Senior Dev Ops Platform Engineer, you will establish and scale the enterprise Dev Ops operating model for GXO's Agentic AI Platform. This role is responsible for building secure, automated, and scalable cloud platform capabilities that enable AI application delivery across Google Cloud Platform, Kubernetes, Terraform, and CI/CD ecosystems.
You'll partner closely with Cloud Engineering, Platform Architecture, Security, and Product teams to drive developer productivity, platform reliability, and operational excellence. If you're looking for an opportunity to make a significant impact on enterprise AI infrastructure, join us at GXO.
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.
- full health insurance (medical, dental and vision)
- 401(k)
- life insurance
- disability
- the opportunity to participate in a company incentive plan
- Establish the enterprise Dev Ops operating model for GXO's Agentic AI Platform, including CI/CD standards, branching strategies, release governance, environment promotion, deployment approvals, and operational handoff practices.
- Design, build, and manage secure, repeatable CI/CD pipelines supporting AI platform infrastructure, platform services, agents, MCP servers, LiteLLM, Agent Gateway integrations, model-serving components, and supporting services.
- Engineer, deploy, and operate Kubernetes-based platform capabilities on Google Kubernetes Engine (GKE), including deployment standards, Helm or Kustomize, autoscaling, network policies, workload identity, secrets management, ingress/egress, observability, and production runbooks.
- Own Terraform infrastructure delivery by developing reusable modules, managing state, enforcing pull request controls, implementing policy guardrails, maintaining environment parity, detecting configuration drift, and promoting infrastructure across development, test, staging, and production environments.
- Partner with the Principal Cloud Engineer to implement Google Cloud Platform foundations while leading day-to-day Dev Ops enablement, release engineering, Kubernetes operations, pipeline reliability, and developer experience.
- Collaborate with the Principal Cloud AI Platform Architect to translate enterprise architecture standards, reference architectures, and architectural decision records (ADRs) into automated build, test, deployment, and operational processes.
- Enable Phase 2 platform capabilities, including GKE-based open-source model serving, vLLM or…
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