Content Developer

Leidos is seeking an experienced Content Developer to join our team on a highly visible cyber security single-award IDIQ vehicle. Duties include proactively searching for threats, inspecting traffic for anomalies and new malware patterns, investigating and analyzing logs, and developing custom content within the Splunk SIEM using advanced SPL language and data models or other network security tools to detect threats and attacks against the department. SIEM Content Developers participate in briefings to provide expert guidance on new threats and act as an escalation point for analysts. The analyst may also author reports and interface with customers for ad-hoc requests, and the threat detection engineer may be asked to recommend improvements to SOC visibility or processes.

Primary Responsibilities

Capture use cases from subscribers or other team members and develop correlation rules

Utilize knowledge of the latest threats and attack vectors to develop Splunk correlation rules for continuous monitoring

Develop, manage, and maintain Splunk data models

Review logs to determine if relevant data is present to accelerate against data models to work with existing use cases

Develop custom regex to create custom knowledge objects

Develop custom SPL using macros, lookups, etc., and network security signatures such as SNORT and YARA

Develop custom dashboards and reports for customer stakeholders

Train and mentor junior staff

Basic Qualifications

Bachelor’s Degree in Computer Science, Engineering, Information Technology, Cybersecurity, or related field and 12+ years of experience or MS Degree and 10 years of experience in addition to at least eight (8) years of experience in incident detection and response, malware analysis, or cyber forensics

Extensive experience working with various security methodologies and processes

Advanced knowledge of TCP/IP protocols, experience configuring and implementing various technical security solutions, and extensive experience providing analysis and trending of security log data from a large number of heterogeneous security devices

Expert knowledge in two or more of the following areas related to cybersecurity:

Vulnerability Assessment

Intrusion Prevention and Detection

Access Control and Authorization

Policy Enforcement

Application Security

Protocol Analysis

Firewall Management

Incident Response

Web-filtering

Advanced Threat Protection

Experience developing advanced correlation rules utilizing tstats and data models for cyber threat detection

Experience creating and maintaining Splunk knowledge objects

Experience managing and maintaining Splunk data models

Experience creating regex for pattern matching

Experience implementing security methodologies and SOC processes

Preferred Qualifications

Experience with cloud (e.g., Office 365, Azure, AWS) security monitoring and familiarity with the cloud threat landscape

Completed Splunk Advanced Searching and Reporting training

Experience developing custom scripts using Python

Splunk certifications

TS/SCI Clearance preferred

Equal Employment Opportunity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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