Senior Cyber Security Engineer - Data/AI
Indexed description
MAJOR RESPONSIBILITIES:
- 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.
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