Senior Cyber Defense Engineer Data Protection

About the role

You will architect and operate the advanced controls that safeguard our most sensitive information. You will lead enterprise-wide initiatives in data discovery, classification, and Data Loss Prevention (DLP) across on-premises, cloud, and SaaS environments. This role is pivotal in addressing emerging risks, including those posed by generative AI, ensuring our security posture evolves alongside the global regulatory and threat landscape.

Responsibilities

• Arcitect & Implement: Design and deploy scalable DLP and Data Security Posture Management (DSPM) solutions across endpoints, email, cloud (GCP/GWS, Azure/O365), and web traffic.
• Govern Data Discovery: Lead automated classification strategies using content inspection and machine learning to align data with corporate policies and regulatory frameworks (PCI, SOX, NIST).
• Secure Emerging Tech: Define and operationalize security controls for Generative AI and LLM platforms, preventing sensitive data exposure during model training and prompting.
• Integrate Ecosystems: Build resilient architectures by integrating data controls with Identity, CASB, SSE, and SIEM platforms.
• Analyze & Remediate: Investigate data security incidents, refine detection logic to minimize false positives, and produce high-fidelity metrics for risk reduction outcomes.

Requirements

• Experience: 7+ years in cybersecurity engineering, with at least 3 years of deep, hands-on expertise in DLP and data classification platforms.
• Technical Mastery: Proven ability to secure hybrid environments and integrate security controls across diverse cloud and endpoint ecosystems.
• Strategic Knowledge: Familiarity with regulatory frameworks (PCI, NIST) and a forward-looking approach to AI security risks.

Qualifications

• Experience with DSPM tools, CASB/SSE platforms, and automation via Python or PowerShell.
• Certifications: Professional certifications such as CISSP, CISM, or CCSP are highly valued.
• Education: Bachelor’s degree in Cybersecurity, Computer Engineering, or a related field, or equivalent professional experience.

Skills

• Proven experience in designing and implementing DLP and DSPM solutions.
• Strong understanding of regulatory frameworks and AI security risks.
• Hands-on experience with automation tools like Python or PowerShell.
• Ability to work effectively in a diverse, cross-functional team environment.

Benefits

Explore our full range of benefits. Broad exposure to CME's diverse products, asset classes, and cross-functional teams. Competitive salary and comprehensive benefits package. CME Group is committed to offering a supportive environment fostering career progression, continuous learning, and an inclusive culture.

Pay

The pay range for this role is $119,900-$199,800. Actual salary offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant).

Schedule

Actual schedule will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education and comparison to internal employees (where relevant).