Key Responsibilities:

Cloud, Platform, & Application Security

• Design, implement, and maintain security controls across public, private, and hybrid cloud environments.
• Conduct threat modeling, architecture reviews, and risk assessments for new and existing platforms.
• Ensure systems align with applicable regulatory, industry, and internal security standards.
• Develop secure reference architectures and reusable security guardrails for engineering teams.

AI, Automation, & Emerging Technology Security

• Support security controls for AI/ML workloads, model pipelines, and AI‑enabled applications.
• Partner with stakeholders to promote secure, responsible, and compliant use of emerging technologies.
• Identify, assess, and mitigate risks introduced by new platforms and tooling.

SevDevOps & Security Automation

• Embed secure‑by‑default controls into CI/CD pipelines and engineering workflows.
• Automate vulnerability management, compliance checks, policy enforcement, and monitoring.
• Integrate security telemetry to enable continuous assurance and incident readiness.

Collaboration & Communication

• Work closely with development, infrastructure, data, enterprise architecture, legal, and compliance teams.
• Act as a bridge between security, engineering, and operations, balancing speed, stability, and risk.
• Clearly communicate security guidance to both technical and non‑technical audiences.

Leadership & Influence

• Promote a culture of secure‑by‑design engineering and continuous improvement.
• Provide guidance on cloud security patterns, automation strategies, and emerging threat areas.
• Mentor peers and project teams in modern security engineering best practices.

Required Qualifications

• Professional experience in cybersecurity engineering, cloud security, or related disciplines (experience may be gained through traditional or nontraditional paths).
• Hands‑on experience with cloud platforms and cloud‑native security concepts.
• Experience designing and implementing scalable security controls or architectures.
• Familiarity with SecDevOps practices, CI/CD pipelines, and security automation.
• Strong understanding of secure system architecture, availability, performance, and resilience.
• Strong analytical, problem‑solving, and communication skills.

Preferred Qualifications

• Experience securing AI/ML or data‑driven platforms.
• Experience with containers, Kubernetes, or cloud‑native security services.
• Experience working with infrastructure‑as‑code and automated policy enforcement.
• Security or cloud certifications are valued but not required.

Education

• Bachelor’s degree in Computer Science

General Requirements:

• Strong sense of ownership, accountability, and attention to detail.
• Ability to manage competing priorities in a fast‑moving environment.
• Experience building scalable, repeatable security processes.
• Inclusive and collaborative working style across diverse teams.
• Curiosity, adaptability, and commitment to continuous learning.