Senior Google Cloud Engineer – Enterprise Platform & AI

GXO Logistics, Inc.

Greenwich (CT)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Health insurance

401(k)

Life insurance

Disability

Job summary

GXO Logistics, Inc. is seeking a Principal Cloud Engineer, Google Cloud, to lead our Google Cloud Platform initiatives, build secure production-grade infrastructure, Kubernetes, and enterprise AI platform capabilities.

You will work with architects, security teams, and engineering partners to translate cloud strategy into scalable, resilient solutions powering GXO's platforms. You'll develop reusable Terraform modules, GitOps workflows, CI/CD pipelines, and platform automation, while mentoring

Qualifications

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.
Deep expertise in Google Cloud resource hierarchy, IAM, networking, Shared VPC, and secure cloud operations.
Extensive hands‑on experience with GKE, Kubernetes networking, autoscaling, and production operations.

Responsibilities

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, Identity-Aware Proxy (IAP), and Cloud Logging and Monitoring.
Develop reusable Terraform modules, project factory patterns, secure-by-default configurations, and standardized deployment patterns across multiple environments.
Engineer and operate production-grade Google Kubernetes Engine (GKE) 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 (IaC) standards through reusable 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, integrate Google Cloud APIs, and reduce operational overhead through engineering best practices.
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 including least privilege access, Workload Identity Federation, Binary Authorization, encryption, secrets management, audit logging, and data protection controls.
Integrate Security Command Center, CSPM tooling, automated compliance, monitoring, alerting, tracing, and reliability engineering practices into the cloud platform.
Build self‑service platform capabilities that enable product, data, and AI engineering teams to rapidly consume cloud services while maintaining enterprise governance.
Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization.