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GXO is hiring a senior cloud/platform engineer to build and scale a secure Google Cloud Foundation in Houston. You will own the enterprise GCP architecture, IAM, Shared VPC, and KMS/CMEK while delivering repeatable Terraform modules and production-grade GKE platforms.
You will drive automation with CI/CD, GitOps, and Vaulted security controls, collaborating with EA, Security, and data teams to enable enterprise AI workloads on Google Cloud.
Build and scale GXO's Google Cloud Platform foundation, including organization hierarchy, landing zones, Shared VPC, IAM, Workload Identity Federation, Secret Manager, Cloud KMS/CMEK, IAP, and Cloud Logging and Monitoring
Develop reusable Terraform modules, project factory patterns, secure-by-default configurations, and standardized deployment patterns
Engineer and operate production-grade Google Kubernetes Engine platforms, including cluster architecture, networking, ingress/egress, autoscaling, observability, and operational runbooks
Translate enterprise architecture into secure, scalable, production-ready cloud implementations
Build Infrastructure as Code standards through Terraform modules, GitOps workflows, CI/CD pipelines, policy guardrails, and platform automation
Develop and maintain CI/CD pipelines using Cloud Build, GitHub Actions, Artifact Registry, and related cloud-native tooling
Automate cloud platform operations and integrate Google Cloud APIs
Engineer enterprise networking capabilities including Shared VPC, Private Service Connect, VPC Service Controls, Cloud NAT, firewall policies, segmentation, Cloud Interconnect, and High Availability VPN
Partner with Information Security to implement zero-trust cloud security, encryption, secrets management, audit logging, and data protection controls
Integrate Security Command Center, CSPM tooling, automated compliance, monitoring, alerting, tracing, and reliability engineering practices
Build self-service platform capabilities for product, data, and AI engineering teams while maintaining enterprise governance
Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization
Engineer the Google Cloud foundation supporting GXO's Enterprise AI Platform, including GKE-based runtimes, AI gateways, model services, agent runtimes, MCP servers, Agent Registry, and governed Snowflake integrations
Partner with Data Engineering, Security, and Enterprise Architecture to deliver secure AI infrastructure supporting inference, agent execution, identity passthrough, and end-to-end traceability
Write Terraform, review pull requests, troubleshoot complex cloud issues, mentor engineers, and raise engineering standards
Demonstrates expertise in building and scaling Google Cloud Platform foundations, implementing Infrastructure as Code with Terraform, and ensuring secure cloud operations through zero‑trust security practices. Proven ability to mentor engineers and collaborate across teams to deliver enterprise‑grade cloud solutions.