Mid-Level Hybrid Cloud Administrator

Overview

This role is at Spirit AeroSystems, Inc. a wholly owned subsidiary of The Boeing Company, supporting Spirit’s Commercial Business Units (“Spirit Commercial”)

Spirit Commercial designs and builds commercial aerostructures, including for Boeing Commercial Airplanes, one of Boeing’s three business units and the premier manufacturer of commercial jetliners for decades

Spirit Commercial’s core products include fuselages, pylons, nacelles and wing components, with a focus on innovative composite and aluminum manufacturing solutions.

 

Description:

We are seeking a Hybrid Cloud Administrator to lead the modernization and sustainment of proprietary customer programs within a multi-cloud environment

While the primary focus of this role is high-level AWS architecture and hands-on technical leadership, the position also involves managing integration activities across Azure Cloud

This role is designed for a technical leader who can bridge the gap between complex cybersecurity compliance (RMF/STIG) and modern software delivery, including the deployment of production-grade AI/ML pipelines

You will engage directly with program customers and IT operations to ensure our infrastructure is resilient, automated, and optimized for performance. 

Responsibilities

Position

:

• AWS Technical Leadership: Provide hands-on architecture and troubleshooting for core AWS services (EC2, RDS, CloudWatch) to identify root causes and systemic gaps. 
• Multi-Cloud Integration: Contribute to the design, deployment, and maintenance of infrastructure in both AWS and Azure, ensuring alignment with organizational best practices. 
• Operational Excellence: Lead stabilization efforts including batch reliability, performance tuning, resiliency, and cost optimization across cloud platforms. 
• Automation & Governance: Implement Infrastructure as Code (IaC) and Configuration as Code (CaC) to establish reliable patching and automated maintenance operating patterns. 
• AI/ML Pipeline Management: Develop and maintain end-to-end AI/ML pipelines, focusing on model serving and infrastructure-agnostic deployment (Kubernetes/Docker). 
• Compliance & Security: Execute against Risk Management Framework (RMF)

  and support security compliance teams to ensure all implementations meet strict regulatory standards. 

• Mentorship & Standards: Guide engineering teams on cloud-native services and reference architectures, driving platform governance and standardized cloud guardrails. 
• Collaborative Support: Partner with Enterprise Architects and Cybersecurity teams to research and resolve complex application integration and performance issues. 

Qualifications

Basic

(Required Skills/Experience):

• This will be an onsite position. 
• Education: Bachelor of Science degree in Computer Science, Computer Engineering, or in-lieu with experience / certifications.  
• AWS Expertise: 5+ years of experience in AWS Services, specifically: VPC, IAM, EC2, Auto-scaling, ELB, ECR, S3, RDS (Postgres), Lambda, SQS, SNS, Route 53, and CloudWatch. 
• Security Architecture: 5+ years of experience in cloud security architecture and design with a focus on major platforms (AWS required, Azure preferred). 
• IaC/CaC Automation: 3+ years of experience writing and implementing Infrastructure as Code with Ansible, Python, Terraform, or similar tools. 
• Containerization: 3+ years of experience with Kubernetes (EKS/AKS) and Docker-Compose. 
• AI/ML Production: Hands-on experience deploying AI/LLM solutions in production environments, including model serving (ONNX runtime, Triton, BentoML, or SageMaker). 
• Back-End Development: Proficiency in Back-end development with Python (FastAPI) and knowledge of CI/CD tools (GitLab CI, Argo CD, or Jenkins). 
• Networking: Thorough knowledge of computer architecture and enterprise networking. 
• Soft Skills: Strong sense of ownership and the ability to communicate effectively in English within an international team. 
• High School Diploma or GED 

Preferred