Senior Cybersecurity Platform Engineer

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Design, implement, maintain, and enhance security platforms and tools that safeguard 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.

• Protect in-house and public AI and ML/DL systems from cyber threats, adversarial attacks, and data breaches throughout the solution lifecycle.

• Create and implement robust security platforms that meet enterprise security requirements (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security).

• Define and uphold guidelines and controls to secure AI systems, focusing on data protection, model security, and compliance standards.

• Utilize established frameworks as references and baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)).

• Identify, evaluate, and mitigate AI-specific security risks (such as adversarial attacks, data poisoning, model inversion, and unauthorized access).

• Conduct vulnerability assessments and penetration testing on AI models and data pipelines.

• Ensure that AI data is encrypted, anonymized, and securely stored.

• Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust).

• Safeguard AI models from tampering, theft, and adversarial manipulation during training and deployment.

• Monitor and log AI system activities for anomalies and security incidents.

• Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance needs.

• Create automated workflows and scripts to enhance the functionality and scalability of security platforms, thereby improving operational efficiency.

• Manage timely patching and upgrades of security tools and systems to minimize downtime and reduce vulnerabilities.

• Configure alerting systems for security threats and enable real-time monitoring for observability.

• Collaborate with incident response teams to identify, contain, and mitigate security incidents.

• Support root cause analysis efforts to enhance security posture and prevent recurring breaches.

• Optimize security tools and platforms for performance and effectiveness while ensuring compliance and meeting 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 a related field, or a combination of education and experience.

• Over 5 years of experience in security engineering, platform engineering, and AI/ML, specifically in large, complex environments, which includes:

• Management of security platforms and tools within enterprise environments.

• Experience with telemetry pipeline platforms (e.g., BindPlane), SIEM (e.g., Splunk, QRadar), and vulnerability management tools.

• Proficiency in scripting and automation (Python, PowerShell, and/or Bash).

• Familiarity with Infrastructure as Code (Terraform, Ansible).

• Knowledge of cloud security tools and platforms (GCP, AWS, Azure).

• Expertise in container security (Docker, Kubernetes).

• Understanding of networking protocols, firewalls, and network security best practices.

• Insight into AI/ML concepts, architectures, and security challenges.

• Awareness of AI threat areas (adversarial attacks, data poisoning, model inversion, unauthorized access).

• Experience in vulnerability assessment and penetration testing on AI models and data pipelines.

• Knowledge of data protection techniques (encryption, anonymization, secure storage) and secure access management (RBAC, ABAC, Zero Trust).

• Familiarity with incident response, monitoring tools, and threat intelligence platforms.

• Understanding of security frameworks and compliance references (SAIF, NIST, FAICP).

• Proficiency in 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 backup child care, and more.

• Family building benefits, including reimbursement for adoption and surrogacy expenses, fertility treatments, and more.

• Vehicle discount program for employees and family members, along with 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.