Senior Cybersecurity Platform Engineer

About the role

Enterprise Technology plays a critical part in shaping the future of mobility. This role is responsible for designing, implementing, automating, and maintaining security platforms that support enterprise cybersecurity operations.

Responsibilities

• 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.
• 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.
• 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.
• 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).

Qualifications

• 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.
• 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.

Skills

• Cloud experience blended with platform engineering capabilities to mature the AI Security platform/tools.
• Experience with cloud security tools and platforms (GCP, AWS, Azure).
• Experience with container security (Docker, Kubernetes).
• Experience with scripting and automation (Python, PowerShell, and/or Bash).
• Experience with Infrastructure as Code (Terraform, Ansible).
• Experience with security platforms and tools in enterprise environments.
• Experience with telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools.
• Experience with security frameworks and compliance references (SAIF, NIST, FAICP).
• Experience with 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.

Pay

This position is a range of salary grades 7-8.

Schedule

Southeast Michigan residents: This role is posted as remote unless you reside within 50 miles of Dearborn, MI—in which case we request on-site presence up to 4 days a week.