Principal Cloud Engineer

Jobtailor

Houston (TX)

Hybrid

USD 150,000 - 190,000

Full time

4 days ago
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Job summary

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.

Qualifications

  • BS/technical degree or equivalent work experience.
  • Google Cloud Cloud Architect cert preferred.
  • 10–15+ years in cloud/platform engineering or distributed systems.
  • 5–7+ years designing and operating enterprise GCP environments.

Responsibilities

  • Build and scale GXO's Google Cloud foundation with IAM, VPC, and logging.
  • Develop Terraform modules and secure-by-default deployment patterns.
  • Operate production-grade GKE platforms with observability and runbooks.
  • Implement CI/CD via Cloud Build and GitHub Actions for automation.
  • Partner with security and EA teams for zero-trust cloud operations.

Skills

Google Cloud Platform
Terraform
GKE Operations
Zero-Trust Security
CI/CD Pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

GitOps
Cloud Build
Artifact Registry
IAP
Kubernetes Engine

Job description

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

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience
  • Google Cloud Professional Cloud Architect certification
  • 10–15+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or distributed systems
  • 5–7+ years of hands‑on experience designing, building, and operating enterprise-scale Google Cloud environments
  • Experience building and scaling enterprise cloud platforms
  • Deep expertise in Google Cloud resource hierarchy, organization policies, IAM, Workload Identity Federation, networking, Shared VPC, Cloud KMS/CMEK, Identity‑Aware Proxy (IAP), logging, monitoring, and secure cloud operations
  • Extensive hands‑on experience with Google Kubernetes Engine (GKE), Kubernetes networking, autoscaling, Cloud Run, ingress/egress, and production operations
  • Strong experience implementing Infrastructure as Code using Terraform, GitOps, CI/CD pipelines, Artifact Registry, and policy‑as‑code
  • Proven expertise implementing zero‑trust cloud security, including least privilege access, Binary Authorization, encryption, secrets management, audit logging, and secure operational controls
  • Experience implementing enterprise observability, reliability engineering, and FinOps practices
  • Experience building reusable platform engineering capabilities and self‑service cloud infrastructure
  • Experience supporting enterprise AI, analytics, machine learning, or LLM platforms on Google Cloud
  • Strong written and verbal communication skills, with experience documenting engineering standards, technical designs, and operational runbooks
  • Ability to mentor engineers and collaborate with architects, security teams, infrastructure teams, and technology partners
  • Ability to operate effectively with minimal supervision in a fast‑paced, global enterprise environment
  • Preferred certifications: Google Cloud Professional Security Engineer, Google Cloud Professional DevOps Engineer, Google Cloud Professional Machine Learning Engineer, CKA or CKAD, HashiCorp Terraform Associate
  • Preferred experience with Vertex AI, Gemini Enterprise Agent Platform, LiteLLM, MCP, AI gateways, agent runtimes, or comparable technologies
  • Preferred experience integrating Google Cloud workloads with Snowflake using OAuth, RBAC, masking policies, row‑level security, and governed data access
  • Preferred experience implementing enterprise FinOps practices and secure multi‑tenant cloud platforms
Core Competencies

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.

Highest-signal resume keywords
  • Google Cloud Professional Cloud Architect Certification
  • Infrastructure as Code Using Terraform
  • Google Kubernetes Engine (GKE) Operations
  • Zero-Trust Cloud Security Implementation
  • CI/CD Pipeline Development
Hard Skills
  • Google Cloud Platform
  • Terraform
  • Google Kubernetes Engine (GKE)
  • Cloud Build
  • GitOps
  • Cloud Logging and Monitoring
  • Cloud KMS/CMEK
  • Workload Identity Federation
  • Enterprise Networking
  • FinOps Practices
Soft Skills
  • Strong Written Communication
  • Strong Verbal Communication
  • Mentoring Engineers
  • Collaboration
Certifications & Qualifications
  • Google Cloud Professional Cloud Architect
  • Google Cloud Professional Security Engineer
  • Google Cloud Professional DevOps Engineer
  • Google Cloud Professional Machine Learning Engineer
  • HashiCorp Terraform Associate
Industry Keywords
  • Cloud Engineering
  • Platform Engineering
  • Infrastructure Engineering
  • Distributed Systems
  • Enterprise AI
Tools & Technologies
  • Artifact Registry
  • Cloud Run
  • Identity-Aware Proxy (IAP)
  • Security Command Center
  • CSPM Tooling
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