Senior Trellix Cybersecurity Engineer/RMF ISSO - TS/SCI
Senior Trellix Cybersecurity Engineer / RMF ISSO – TS/SCI
Clearance: Active TS/SCI Clearance Required
Citizenship: U.S. Citizen Required
Experience: 11-13 years of relevant experience
Education: Bachelor's Degree in Computer Science or related field
Position Type: Full-Time Permanent
Location: On-Site at Suffolk Building (no remote/hybrid option)
Job Description:
ZTI is seeking a Senior Trellix Cybersecurity Engineer with RMF ISSO expertise to architect, implement, and manage a comprehensive Trellix security environment while supporting RMF compliance activities for a high-visibility Chief Digital and Artificial Intelligence Office (CDAO) mission focused on AI/ML development and securing advanced data systems .
This role requires expertise in deploying Trellix from the ground up , configuring and managing all modules, performing STIG compliance across integrated devices including Microsoft SQL, and ensuring cybersecurity compliance through direct ISSO responsibilities. The candidate will support AI/ML development environments to ensure their security posture meets DoD and CDAO mission objectives.
This is a full-time permanent on-site role at the Suffolk Building with an immediate hire , offering a starting salary between $160,000 and $190,000 , based on qualifications and experience.
Primary Responsibilities:
- Architect, install, configure, and manage Trellix ePO and associated modules from initial deployment to operational sustainment.
- Integrate Trellix with Microsoft SQL databases, ensuring optimal performance, availability, and security compliance.
- Develop and implement STIG hardening for all systems associated with Trellix deployment, including endpoints, servers, and databases.
- Configure and manage endpoint security, DLP, threat prevention, and advanced Trellix modules to support CDAO AI/ML mission security requirements.
- Conduct vulnerability assessments and remediate findings to maintain system compliance with DoD and CDAO security standards.
- Develop operational documentation, SOPs, and as-built configurations for sustainment.
- Collaborate with security teams, system administrators, and data engineers to integrate Trellix into AI/ML workflows securely.
- Provide Tier III support and subject matter expertise for all Trellix-related issues and projects.
Additional Duties – RMF ISSO Roles & Responsibilities:
- Serve as Information System Security Officer (ISSO) for assigned AI/ML systems.
- Support development, implementation, and maintenance of RMF packages, including System Security Plans (SSPs), Security Assessment Reports (SARs), and Plans of Action and Milestones (POA&Ms).
- Conduct continuous monitoring activities, vulnerability scanning, and security control assessments.
- Coordinate with the Information System Security Manager (ISSM) and Authorizing Official (AO) to maintain system Authorization to Operate (ATO) status.
- Ensure security requirements are integrated into system designs supporting AI/ML operations.
- Maintain knowledge of evolving DoD, RMF, and CDAO cybersecurity policies to ensure compliance and proactive risk management.
Required Qualifications:
- 11-13 years of cybersecurity engineering experience , with significant hands-on expertise in Trellix (McAfee) architecture and administration.
- Bachelor’s Degree in Computer Science, Cybersecurity, or related field.
- Active TS/SCI Clearance required.
- 8570 IAT II compliant certification (e.g., Security+, CCNA Security, CySA+, GICSP, GSEC, SSCP).
- Cloud Security Certification (e.g., AWS Certified Security – Specialty, CCSK, CCSP, Azure Security Engineer Associate).
- Expert-level knowledge in deploying and managing Trellix ePO , Threat Prevention, DLP, and associated modules in DoD environments.
- Demonstrated experience setting up Trellix from scratch , including policy configuration, system deployment, and integration with Microsoft SQL databases.
- Strong understanding of DoD STIG compliance , vulnerability management, and security hardening for Windows and Linux systems.
- Experience performing RMF ISSO responsibilities within classified environments.
- Strong communication and collaboration skills, with experience working in cross-functional mission-focused teams.
- U.S. Citizenship required due to contract requirements.
Preferred Qualifications:
- Trellix/McAfee Certified Product Specialist or similar vendor certifications.
- Familiarity with SIEM integrations involving Trellix and enterprise logging solutions.
- Experience with STIG compliance automation tools (e.g., SCAP, DISA STIG Viewer).
- Prior experience supporting CDAO, AI/ML development environments , or advanced data security initiatives.
- Ability to develop security engineering solutions in alignment with RMF, NIST, and DoD cybersecurity frameworks.
Work Environment & Additional Information:
- On-Site at Suffolk Building (no remote or hybrid options).
- Immediate hire for a full-time permanent position.
- Competitive salary ($160,000 to $190,000 starting) with full benefits.
- Opportunity to support high-impact AI/ML development and CDAO mission security .
- Collaboration with a team of cybersecurity engineers, data scientists, and mission-focused professionals.
Benefits:
- Four Weeks of Paid Time Off
- All Federal Holiday Paid Vacation
- Four Percent Matching 401K
- Full health/vision/dental benefits for the employee and family paid 100% by ZTI Solutions, LLC
ZTI Solutions, LLC was founded in 1997 in Virginia and is classified as a small business. The company is owned and operated by its founder, Rudy Zadnik, who emphasizes moral and business excellence over increasing company profits. This results in a more customer-oriented attitude towards mission accomplishment, as opposed to growing profits or sales.Our approach to consulting and engineering centers around using only highly skilled personnel who are seasoned industry veterans. All employees hold high-level industry and vendor certifications. We offer a comprehensive set of consulting and staff augmentation services, primarily focused on networking and security consulting in the classified space.
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