Senior Cybersecurity Platform Engineer

🕒 Abril 22

🚗 Michigan – Remoto

🚗 Michigan – Remote

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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Ford Motor Company

SiteLinkedInTodas as Vagas

10.000+ funcionários

🛡️ Seguros

🚘 Automotivo

🏭 Manufatura

🔥 Investimento no último ano

💰 $3.000.000.000 Post IPO debt em 2025-08

Insurance • Automotive • Manufacturing

A Ford Motor Company é uma fabricante global de automóveis que projeta, desenvolve, produz, comercializa e presta serviços para uma ampla gama de carros de passeio, SUVs, caminhões, veículos comerciais e eletrificados. A empresa realiza vendas de veículos através de redes de concessionárias e canais digitais diretos, oferece serviços de financiamento e seguros (Ford Credit, Ford Insure), disponibiliza software e serviços para veículos conectados (SYNC, aplicativo Ford, BlueCruise), e fornece peças, serviços e soluções de frota por meio do Ford Pro. A Ford também investe em eletrificação, fabricação de baterias e iniciativas de sustentabilidade, mantendo operações substanciais de fabricação e P&D em todo o mundo.

Descrição

• 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.

🎯 Requisitos

• 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) • **Even better, you may have...** • Master’s degree in Computer Science, Information Security, or related field. • Understanding of cloud AI/ML services and deployment pipelines. • CISSP (Certified Information Systems Security Professional). • CCSP (Certified Cloud Security Professional). • Preferred certifications such as CAISF, AICERTs, AI for Cybersecurity Specialization, or equivalent. • GCP cloud certification or equivalent in AWS or Azure (preferred). • Additional cybersecurity certificates (preferred). • Excellent communication and documentation skills for policy development and stakeholder engagement.

🏖️ Benefícios

• 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.