Security Engineer

This is a fully remote position, open to applicants in Washington.

📋 Description

• The IT Security Engineer utilizes Information Technology (IT) security principles, methods, and security products, including AI-driven security tools and automation, to safeguard and uphold the availability, integrity, confidentiality, and accountability of the organization's IT resources, as well as the physical security and access of assets and personnel.

• This role harnesses AI and machine learning technologies to improve threat detection, expedite incident response, and enhance the overall security stance of the organization.

• The incumbent is accountable for executing assigned tasks to support and realize the objectives of the company's Information Security initiatives within the designated timeline and budget.

• Maintains configurations for IT security technologies to optimize the functionality and capabilities of protective equipment.

• Collaborates with other teams within the company (e.g., Information Technology engineers, Network Engineers) to conduct design reviews and analyze modifications to the network infrastructure.

• Regularly assesses firewall and router rules alongside access control lists.

• Manages and supports PKI Infrastructure - User and Server Authentication.

• Develops, documents, and maintains methodologies for sensitive and critical applications as well as general support for IT security systems.

• Drafts policies in alignment with NIST, FISMA, PCI, PII, and CJIS compliance standards.

• Ensures that processes and procedures are created, documented, maintained, and followed for incident identification, investigation, response, analysis, and recommendations for risk management, forensic data collection, and regulatory compliance.

• Formulates policies and procedures while maintaining scripts, routines, and software for executing security studies and assessments to provide professional-level analysis in identifying system threats and vulnerabilities.

• Utilizes AI/ML-based detection tools to uncover malware, anomalous behavior, and malicious activities at scale.

• Monitors and reviews intrusion detection systems and firewall logs, employing AI-driven behavioral analytics and SIEM platforms to detect adverse patterns and coordinate mitigation efforts.

• Conducts security assessments, identifies risks, and plans and executes mitigation strategies.

• Leads vulnerability management initiatives and actively engages in patch management and risk management activities.

• Participates in emergency operations, including serving on the Computer Security Incident Response Team.

• Deploys and oversees AI-powered security tools, such as AI-driven SIEM, endpoint detection and response (EDR), and user and entity behavior analytics (UEBA) platforms, to enhance detection accuracy and lower the mean time to respond (MTTR).

⛳️ Requirements

• High school diploma or GED.

• Bachelor's degree in Information Technology or a comparable technical field.

• Three (3) to five (5) years of direct experience as a Cyber Engineer or in information assurance.

• Significant experience with industry-standard Vulnerability Assessment tools and AI-powered security platforms (e.g., Darktrace, CrowdStrike Falcon, Microsoft Sentinel, or similar).

• Proficient in network monitoring, network security, network equipment programming, firewall configurations, DLP solutions, log monitoring, and event correlation.

• Experience in documenting policies and processes.

• Familiarity with DNS, DHCP, and LDAP.

• Experience in system hardening using STIGs, CIS, or USGCB guidelines.

• Background in Security Incident Response.

• Excellent verbal and written communication skills with experience in policy writing.

• Strong analytical and troubleshooting capabilities.

• Ability to act as a technical resource for IT staff.

• Practical experience with AI/ML-powered security tools or SOAR platforms for threat detection, automated responses, or security analytics.

• Knowledge of AI governance frameworks and the security risks associated with the enterprise deployment of generative AI and large language model (LLM) applications.

🏝️ Benefits

• Medical

• Dental

• Vision

• 401k

• Flexible spending account

• Paid sick leave and paid time off

• Parental leave

• Quarterly performance bonus

• Training

• Career growth and education reimbursement programs