Dragonfli Group is a cybersecurity and IT consulting firm providing services to federal agencies and Fortune 100 enterprises. They are seeking a Senior Security Logging Engineer to support a large federal agency in safeguarding digital identities and network assets within a large-scale IT environment, focusing on enterprise logging initiatives.
Responsibilities:
- Guide enterprise-scale logging initiatives and ensure compliance
- Collaborate with IT and security stakeholders to meet logging and monitoring requirements
- Implement and maintain the enterprise logging compliance platform
- Enable the ability to monitor, detect, and respond to security events
- Generate content, user guides, and reports for operational and compliance needs
- Lead coordination of installations, updates, and maintenance of ELM and SIEM systems
- Develop and maintain documentation for SIEM and ELM systems
- Ensure log onboarding, reporting, and compliance requirements are met
- Apply knowledge of threat detection and compliance auditing procedures
- Utilize security controls automation and guidance documentation
Requirements:
- Seven (7)+ years' experience with enterprise logging platforms (Splunk, Qmulos, or similar)
- Advanced degree in a technical/cyber-related field or equivalent experience/certifications
- Ability to lead coordination of ELM and SIEM systems and software
- Deep understanding of log onboarding, reporting, and compliance requirements
- Experience developing and maintaining documentation for SIEM and ELM systems
- Knowledge of change control processes and documentation
- Familiarity with threat detection and compliance auditing procedures
- Strong analytical and documentation skills
- Excellent communication and coordination skills
- Ability to work collaboratively with IT and security stakeholders
- Proficiency in developing user guides and operational reports
- Expertise in security controls automation
- Strong problem-solving and critical-thinking abilities
- Candidates with previous federal contracting experience are preferred