Senior Cybersecurity Engineer - Data & AI Security

Core Responsibilities

• Lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale.
• Build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation.
• Partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing.

Select Responsibilities

• Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs.
• Establish security code standards defining secure coding practices, code review requirements, and implementation quality.

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred.
• 6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent.
• Hands-on experience securing data used by AI systems, including data discovery, classification, access governance, and usage monitoring across cloud data platforms, feature stores, and AI pipelines.
• Experience securing AI and analytics workloads in modern cloud environments, including identity and access controls, service-to-service authentication, secrets management, and policy enforcement across platforms supporting AI/ML development and inference (e.g., cloud data platforms, ML platforms, containerized services).
• Proven experience implementing enterprise security controls and building security infrastructure including centralized authentication, authorization services, and security policy enforcement systems at scale.
• Demonstrated ability to lead advanced threat modeling for complex systems, anticipating sophisticated adversarial behavior; experience owning investigation and resolution of complex security incidents with deep root cause analysis.

Workplace Arrangement

• This role is classified as In-Person under our SSC Workplace Policy: In-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.