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GXO Logistics, Inc.

Principal Cloud AI Platform Architect

GXO Logistics, Inc.

. Provide principal-level architecture leadership for GXO's Google Cloud environment .

Posted 9/18/2026full-timeHouston • Texas • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Google Cloud architecture, including design and operation of enterprise-scale environments, and proficiency in Terraform, GKE, and zero-trust security principles. Capable of leading architecture initiatives, establishing standards, and collaborating across teams to drive operational excellence and innovation.

Highest-signal resume keywords
Google Cloud ArchitectureTerraformGoogle Kubernetes Engine (GKE)Zero-Trust SecurityEnterprise AI Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud ArchitectureEnterprise ArchitectureDistributed SystemsPlatform EngineeringProduction OperationsObservabilityFinOpsPolicy-as-CodeCost ManagementData Integration
Soft Skills
Analytical SkillsWritten CommunicationCollaborationStakeholder EngagementMentoring
Tools & Technologies
Google CloudTerraformGitOpsCI/CD PipelinesSnowflakeIAPCloud KMS/CMEKPrivate Service ConnectWorkload Identity FederationAudit Logging
Certifications & Qualifications
Google Cloud Professional Cloud ArchitectGoogle Cloud Professional Security EngineerGoogle Cloud Professional DevOps EngineerGoogle Cloud Professional Machine Learning EngineerCertified Kubernetes Administrator (CKA)Certified Kubernetes Application Developer (CKAD)HashiCorp Terraform Associate
Industry Keywords
Enterprise AICloud SecurityOperational ExcellenceTechnical GovernanceArchitecture Standards

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetesTerraform

About the role

Key responsibilities & impact
  • Provide principal-level architecture leadership for GXO's Google Cloud environment
  • Design and evolve enterprise Google Cloud foundations, including folder and project hierarchy, Shared VPC, Private Service Connect, IAP, Workload Identity Federation, Secret Manager, Cloud KMS/CMEK, and Cloud Logging and Monitoring
  • Lead architecture for GKE, including networking, ingress/egress, autoscaling, security, observability, production operations, and deployment standards
  • Establish platform engineering standards through Terraform modules, GitOps, CI/CD pipelines, DevSecOps controls, policy-as-code, and paved-road developer experiences
  • Develop and maintain enterprise reference architectures, ADRs, technical standards, and cloud design patterns
  • Partner with Information Security on zero-trust architecture, identity federation, least privilege access, encryption, secrets management, audit logging, and secure-by-default operations
  • Define enterprise observability and FinOps standards, including cost attribution, budgeting, SLOs, tracing, monitoring, and operational excellence
  • Lead Google Cloud architecture for GXO's Enterprise AI Platform, including Gemini Enterprise Agent Platform, LiteLLM, Agent Gateway, MCP, Agent Registry, ADK, and governed Snowflake integrations
  • Partner with Data Engineering, Security, and Product Architecture on secure, scalable, model-agnostic AI inference, agent runtimes, identity passthrough, tool execution, and end-to-end traceability
  • Contribute to future AI platform capabilities, including model tiering and open-source model serving on GKE
  • Support additional enterprise workloads including analytics, application modernization, integration, and data platforms
  • Evaluate emerging Google Cloud technologies and strategic partner offerings
  • Conduct architecture reviews, design governance, technical mentorship, and executive-level technology recommendations
  • Collaborate with enterprise, infrastructure, security, and data architects to establish consistent cloud architecture standards
  • Provide hands-on technical leadership by writing Terraform, reviewing IAM policies, troubleshooting GKE networking, and partnering with engineering teams

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience
  • Google Cloud Professional Cloud Architect certification
  • 12–15+ years of experience in cloud architecture, enterprise architecture, distributed systems, or platform engineering
  • 7+ years of hands-on experience designing and operating enterprise-scale Google Cloud environments
  • Deep expertise in Google Cloud architecture, including landing zones, organization policies, IAM, Workload Identity Federation, networking, Shared VPC, Private Service Connect, VPC Service Controls, Cloud KMS/CMEK, IAP, logging, monitoring, and secure cloud operations
  • Extensive experience designing and operating production Google Kubernetes Engine (GKE) platforms
  • Strong experience with Terraform, GitOps, CI/CD pipelines, and policy-as-code frameworks
  • Expertise implementing zero-trust cloud security, identity federation, least privilege access, encryption, secrets management, audit logging, and governance
  • Experience designing enterprise observability and FinOps capabilities, including monitoring, tracing, cost management, budgeting, and operational maturity
  • Experience designing enterprise AI or LLM platforms using Vertex AI, Gemini Enterprise Agent Platform, LiteLLM, MCP, AI gateways, agent runtimes, or comparable technologies
  • Excellent analytical skills and ability to translate complex business requirements into scalable enterprise architectures
  • Strong written communication skills and experience producing executive-ready architecture documentation, standards, design reviews, and technical recommendations
  • Exceptional communication and collaboration skills with engineering teams, executive leadership, technology partners, and security organizations
  • Ability to prioritize competing initiatives while balancing architecture strategy, hands-on engineering, and stakeholder engagement
  • Ability to operate effectively with minimal supervision in a fast-paced, global enterprise environment
  • Google Cloud Professional Security Engineer certification (preferred)
  • Google Cloud Professional DevOps Engineer certification (preferred)
  • Google Cloud Professional Machine Learning Engineer certification (preferred)
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) (preferred)
  • HashiCorp Terraform Associate certification (preferred)
  • Experience integrating Google Cloud workloads with Snowflake using OAuth, RBAC, masking policies, row-level security, and governed data access
  • Experience designing secure multi-tenant enterprise platforms on Google Cloud
  • Experience evaluating emerging AI, cloud, and platform technologies for enterprise adoption
  • Demonstrated success collaborating within enterprise architecture organizations and contributing to shared standards and technical governance
  • Experience mentoring architects and engineers while elevating enterprise architecture practices across large organizations
  • Conditional offer recipients may be required to pass a pre-employment drug test

Benefits

Comp & perks
  • Full health insurance (medical, dental and vision)
  • 401(k)
  • Life insurance
  • Disability insurance
  • Competitive compensation
  • Generous benefits package