GCP Governance: Design, deploy, and manage Ford Energy’s cloud environments.
Cloud Economics: Monitor and optimize cloud consumption to ensure cost-effectiveness while maintaining high performance.
Identity & Security: Implement and maintain robust Identity and Access Management policies and security configurations within the cloud environment.
Physical Hosting: Lead the design and setup of the plant’s local data center/server rooms, including rack layouts, power requirements, and cooling coordination.
Edge Computing: Implement high-availability edge compute solutions to support real-time manufacturing data and low-latency production requirements.
Virtualization: Manage the on-site virtualization layer to ensure maximum hardware utilization and resilience.
Business Continuity: Develop and test comprehensive backup and disaster recovery strategies that span both physical hardware and cloud workloads.
Monitoring & Observability: Implement advanced monitoring tools to ensure 24/7 visibility into system health.
Storage Management: Architect and manage scalable storage solutions for massive manufacturing datasets, ensuring data is available for analysis and long-term retention.
Deployment: Lead the technical execution of infrastructure projects during the plant’s construction and "go-live" phases.
Hardware Sourcing: Work with vendors to specify and procure the physical infrastructure needed for the facility.
Requirements
Bachelor Degree or relevant work experience
GCP Expertise: 5+ years of hands-on experience with Google Cloud Platform (GCP).
Professional Cloud Architect or Cloud Engineer certification is highly preferred.
Infrastructure Experience: 8+ years in IT infrastructure with at least 3 years in a leadership or lead engineering role.
Hybrid Proficiency: Proven experience managing "hybrid" environments where cloud and physical hardware must work in sync.
Hardware Knowledge: Deep understanding of server hardware, enterprise storage, and data center physical infrastructure.
Automation: Experience with Infrastructure as Code (IaC) tools to automate environment deployment.
Preferred Skills & Attributes**
Manufacturing Context: Experience supporting a 24/7 production environment where system uptime directly impacts manufacturing throughput.
Containerization: Strong knowledge of Kubernetes and Docker, particularly in a manufacturing or IIoT context.
Problem Solver: A "get-it-done" mindset with the ability to troubleshoot complex issues across the full stack (from a physical cable to a cloud API).
Collaborative: Ability to work closely with the Network and Security teams to ensure a seamless and hardened infrastructure.
Tech Stack
Cloud
Docker
Google Cloud Platform
Kubernetes
Benefits
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.