Senior Cyber Security Engineer - Data/AI

The Lead Engineer, Cyber Security provides strategic direction for Universal Destinations & Experiences (UDX) in support of Universal’s Creative Division and AI/Data Division. This role partners with other cyber security team members and UDX stakeholders to support the secure design, development, and deployment of solutions by understanding the technical aspects of the business problems and technical guidance across many different technology stacks and platforms. As a member of the Cyber Security Assurance team, the Senior Cyber Security Engineer functions as a strategic thought leader and subject matter expert for cyber security. This includes helping to identify gaps in capabilities, evaluating new tools, and working with senior leadership to define strategy.

• →Support UDX in securely designing, implementing, and deploying systems; validate designs as requested by the business; ensure the UDX network is secure.
• →Solve complex technical and integration issues with creative and secure solutions.
• →Participate in creating and defining security practices for UDX networks using an intelligence and threat-driven defense model.
• →Identify and communicate key risks and security posture to senior leadership; build effective relationships across UDX business units; mentor junior security engineers and architects; build and contribute to communities of excellence as appropriate.
• →Lead initiatives to ensure the technology vision is realized.
• →Collaborate with other cyber security teams to define and document 3-5 year security technology vision and roadmap.
• →Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
• →Performs other duties as assigned.

• Bachelor’s degree in Computer Sciences, Information Systems, or Cyber Security required;
• Master’s degree preferred;
• or combined applicable work experience.

• 7+ years of demonstrated experience working in a technical area as part of a large team required (Software Engineering, Computer Engineering, DevSecOps, Infrastructure, Networking, Cyber Security, Architecture).
• Experience in large-scale networks, routing protocols, and network security components.
• Experience in working with emerging technologies such as GenAI, VR, Robotics.
• Extensive knowledge and experience working with applicable data security, compliance and privacy legal and regulatory frameworks preferred.
• Ability to produce high quality technical documentation.
• Experience performing Threat Analysis and modeling leveraging best in industry frameworks such as MITRE ATT&CK, indicating proficiency in implementing robust security measures.
• Empathy for engineering teams with the ability to balance security guidelines and policies with operational needs to maintain desired end-state corporate security posture.

• AI/ML: In-depth knowledge of generative AI platforms such as Azure OpenAI services, various models, and the underlying technologies and safety and security risks.
• Data & Storage: Experience designing and enforcing data classification, encryption, key management, DLP and privacy controls. Familiarity with AI data lifecycle risks, regulatory requirements and secure data handling for training inference workloads.
• Cloud Security: Experience designing and securing cloud and hybrid environments, including identity architecture, network segmentation, workload protection, logging/monitoring, and secure configuration management. Strong understanding of cloud-native security controls, shared responsibility models, and posture management across modern infrastructure platforms.

Your talent, skills and experience will be rewarded with a competitive compensation package.

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