Senior Cybersecurity Platform Engineer

🕒 April 23

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

🚗 Transport

💰 Post-IPO Debt on 2023-08

Transport • Manufacturing • Sustainability

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Design, implement, maintain, and improve security platforms and tools that protect the organization’s IT infrastructure. • Optimize security technologies to detect, prevent, and respond to security threats in real time. • Collaborate with engineering, IT, and security operations teams to deploy and support enterprise cybersecurity platforms and solutions. • Secure in-house and public AI and ML/DL systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle. • Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security). • Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements. • Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)). • Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access). • Conduct vulnerability assessments and penetration testing on AI models and data pipelines. • Ensure AI data is encrypted, anonymized, and securely stored. • Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust). • Protect AI models from tampering, theft, and adversarial manipulation during training and deployment. • Monitor and log AI system activity for anomalies and security incidents. • Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements. • Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency. • Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities. • Configure alerting systems for security threats and enable real-time monitoring for observability. • Partner with incident response teams to identify, contain, and mitigate security incidents. • Support root cause analysis to improve security posture and prevent repeat breaches. • Optimize security tools and platforms for performance and effectiveness while meeting compliance and organizational requirements. • Maintain documentation for platform configurations, AI services and capabilities, troubleshooting guides, and operational procedures.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Security, or related field OR a combination of education and experience • 5+ years of experience in security engineering, platform engineering, and AI/ML, including experience in large, complex environments, such as: • Managing security platforms and tools in enterprise environments • Telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools • Scripting and automation (Python, PowerShell, and/or Bash) • Infrastructure as Code (Terraform, Ansible) • Cloud security tools and platforms (GCP, AWS, Azure) • Container security (Docker, Kubernetes) • Networking protocols, firewalls, and network security best practices • AI/ML concepts, architectures, and AI security challenges • AI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access) • Vulnerability assessment and penetration testing on AI models and data pipelines • Data protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust) • Incident response, monitoring tools, and threat intelligence platforms • Security frameworks and compliance references (SAIF, NIST, FAICP) • ITSM processes and tools (ServiceNow) and delivery practices/tools (Agile, JIRA)

🏖️ 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.