As a Senior Cyber Defense Engineer, 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.
What You'll Get- A supportive environment fostering career progression, continuous learning, and an inclusive culture.
- Broad exposure to CME's diverse products, asset classes, and cross-functional teams.
- A competitive salary and comprehensive benefits package.
Explore our full range of benefits.
What You'll Do- Architect & 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.
What You'll Bring- 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.
- Preferred Assets: Experience with DSPM tools, CASB/SSE platforms, and automation via Python or PowerShell.
- Credentials: 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.
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CME Group is committed to offering a competitive total rewards package for our employees that recognizes their contributions to the business and reflects our long-term investment in their future. 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). Our compensation program also includes an annual target bonus opportunity for all employees, as well as the opportunity to become an owner in the company through our broad-based equity program. Through our benefits program, we strive to offer flexibility, value and choice. From comprehensive health coverage, to a retirement package that includes both a 401(k) and an active pension plan, to highly competitive education reimbursement provisions, paid time off and a mental health benefit, CME Group offers a holistic benefits package for our team and their dependents.
