Cloud Engineering Manager

Worldwide Flight Services (WFS), part of SATS Ltd., provides global air cargo handling and aviation services. The Cloud Engineering Manager leads the engineering, operation, automation, security, reliability, optimization, and continuous improvement of global cloud platforms across Azure, AWS, and GCP, including infrastructure supporting enterprise AI workloads. The role also leads a globally distributed cloud engineering team and partners with Data & AI, Cybersecurity, Architecture, and technology teams.

Responsibilities:

• Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations
• Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments
• Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities
• Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil
• Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones
• Partner with Data & AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting
• Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements
• Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration
• Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams
• Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting
• Support the organization's cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements
• Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience
• 10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services
• Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP
• Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning
• Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation
• Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms
• Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices
• Experience leading distributed engineering teams and supporting highly available, business-critical technology environments
• Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner
• Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code
• Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets
• Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting
• Experience migrating and modernizing VMware and on-premises workloads into cloud environments
• Experience leading global teams across the Americas, EMEA, and APAC
• Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments