Global Cloud Platform Lead (Azure | AI Ops)

Worldwide Flight Services (WFS)

United States

Hybrid

USD 105,000 - 163,000

Full time

9 days ago
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Benefits offered by this job

Pay in advance: DailyPay
On-the-spot awards
Medical options
Wellness programs
401k
Internal mobility
Travel discounts

Job summary

Worldwide Flight Services (WFS) is seeking a Cloud Engineering Manager to lead and grow a global cloud platform across Azure, AWS, and GCP. You will standardize delivery, drive IaC, and implement AI-enabled engineering while supporting enterprise AI workloads.

Reporting to the VP of Global Cloud, you will build scalable, cost-effective cloud services, partner with Security, Data & AI, and Architecture teams, and mentor a distributed engineering workforce to meet business needs.

Qualifications

  • Bachelor’s degree or equivalent experience.
  • 10+ years in cloud/infrastructure engineering with 3+ years leading teams.
  • Expert-level Azure, with AWS/GCP experience.
  • Proven IaC, CI/CD, and landing zones experience.
  • Experience with AI/ML infra and GPU compute.

Responsibilities

  • Lead global cloud platforms across Azure/AWS/GCP including landing zones and secure foundations.
  • Build and maintain standardized delivery pathways, CI/CD, IaC modules, GitOps, and environment automation.
  • Drive automation-first engineering, policy-as-code, AI-assisted workflows, and remediation.

Skills

Azure
Kubernetes
Terraform
GitOps
CI/CD
AIOps
AI/ML infra
Security & compliance
Cloud cost optimization
Leadership

Education

Bachelors in CS/Engineering/IT

Tools

Terraform
Bicep
Kubernetes (AKS/EKS/GKE)
Terraform Enterprise

Job description

Worldwide Flight Services (WFS) is seeking a Cloud Engineering Manager to lead and grow a global cloud platform across Azure, AWS, and GCP. You will standardize delivery, drive IaC, and implement AI-enabled engineering while supporting enterprise AI workloads.

Reporting to the VP of Global Cloud, you will build scalable, cost-effective cloud services, partner with Security, Data & AI, and Architecture teams, and mentor a distributed engineering workforce to meet business needs.

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