Senior Cybersecurity Platform Engineer

🕒 vor 1 Monat

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

🦅 H1B-Visum-Sponsor

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Ford Motor Company

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

Gegründet 1903

🚗 Transport

💰 Post-IPO Debt im 2023-08

Transport • Manufacturing • Sustainability

Die Ford Motor Company ist ein weltweit renommiertes Automobilunternehmen mit Sitz in den Vereinigten Staaten, gegründet von Henry Ford. Das Unternehmen hat es sich zur Aufgabe gemacht, eine bessere Welt zu gestalten, in der jeder Mensch die Freiheit hat, sich zu bewegen und seinen Träumen zu folgen. Ford engagiert sich für Innovation mit einem Fokus auf Dienstleistungen, Erfahrungen und Software neben der traditionellen Fahrzeugherstellung. Das Unternehmen beteiligt sich aktiv an Nachhaltigkeitsinitiativen und strebt an, ehrgeizige Umweltziele zu erreichen. Ford legt Wert auf Service und Auswirkungen auf die Gemeinschaft und bemüht sich, Geschäftserfolg mit sozialer und ökologischer Verantwortung zu verbinden. Mit einer reichen Geschichte von über 121 Jahren passt sich Ford weiterhin an und führt in der sich wandelnden Automobillandschaft.

Beschreibung

• 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.

🎯 Anforderungen

• 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)

🏖️ Vorteile

• 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.