Director, Cloud & AI Infrastructure Operations

Ford Motor Company

. Provide operational leadership and support for applications running on Google Cloud Platform and Kubernetes/OpenShift .

Posted 9/30/2026full-timeRemote • California • United StatesLead💰 $141,700 - $281,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure cloud architectures on Google Cloud Platform, with a strong focus on AI/ML infrastructure and security practices. Proven ability to lead cross-functional teams, mentor technical talent, and present operational metrics to senior leadership.

Highest-signal resume keywords

Google Cloud PlatformKubernetesAI/ML InfrastructureSecure Cloud ArchitectureDisaster Recovery Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Infrastructure EngineeringGCP NetworkingIAM Security ControlsHA/DR Solutions DesignSASTSCAIaCDASTAPI Security TestingCost Optimization

Soft Skills

LeadershipCommunicationCross-Functional CollaborationMentoringPeople Management

Tools & Technologies

Google AI ServicesCursorClaudeGemini EnterpriseVertex AI SearchFeature StoreAI Runtime

Certifications & Qualifications

Google Cloud CertificationsKubernetes Certifications

Industry Keywords

Financial ServicesRegulated IndustryDevSecOpsCI/CD Security Scanning

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformKubernetesOpenShift

About the role

Key responsibilities & impact

Provide operational leadership and support for applications running on Google Cloud Platform and Kubernetes/OpenShift
Maintain and evolve knowledge of GCP services, networking constructs, and secure architecture patterns
Guide teams in designing and implementing secure GCP solutions
Lead High Availability and Disaster Recovery infrastructure design and implementation across Google Cloud and Ford data centers
Apply LLM, RAG, MCP, and Agentic AI concepts to improve IT processes and drive automation
Promote secure use of AI-powered IDEs such as Cursor and Claude within engineering teams
Design and execute secure, production-grade solutions using Google AI services
Partner with security engineering to implement controls protecting AI architectures and agents
Embed SAST, SCA, IaC, DAST, and API security testing into delivery pipelines
Ensure cloud, container, and AI solutions meet security, risk, and compliance standards
Reduce infrastructure and AI token/consumption costs
Develop and present operational, financial, and productivity metrics and dashboards
Collaborate with application, infrastructure, security, architecture, vendor, and enterprise technology teams
Mentor technical talent and serve as an escalation point for complex infrastructure issues
Represent Ford Credit's cloud and AI infrastructure strategy in leadership forums

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience)
Typically 10+ years of experience in cloud infrastructure/platform engineering
Substantial hands-on experience with Google Cloud Platform
Experience operating and supporting applications on Kubernetes and/or OpenShift
Experience designing and implementing secure cloud architectures, including GCP networking, IAM, and security controls
Experience designing and implementing HA/DR solutions across hybrid cloud and on-premises environments
Working knowledge of AI/ML infrastructure concepts including LLM, RAG, MCP, and Agentic AI
Familiarity with AI-powered development tools such as Cursor and Claude Code
Working knowledge of Google AI/ML platform services including Gemini Enterprise, Vertex AI Search, Feature Store, and AI Runtime
Understanding of AI security concerns including prompt injection, data leakage, and model/agent access control
Working knowledge of SAST, SCA, IaC, DAST, and API security scanning tools/practices
Strong cross-functional collaboration experience
Ability to build business cases and present cost/benefit metrics to senior leadership
Leadership, communication, and people-management skills; experience leading technical teams
Must be legally authorized to work in the United States
Visa sponsorship is not available
Preferred: Google Cloud certifications; Kubernetes/OpenShift certifications; financial services or regulated-industry experience; FinOps/cost optimization; DevSecOps and CI/CD security scanning experience

Benefits

Comp & perks

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
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
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
Generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and option to purchase additional vacation time