Network Monitoring System Developer Level 2/Cyber Systems Engineer

Description of Work:

Client is a Global Health and Financial Solutions sector is seeking a Cyber Systems Engineer who will oversee the collection, storage

and interpretation of cyber security data to enhance the Continuous Diagnostics and Mitigation (CDM) Program. Their duties will

include sifting through data points to create organized categories, formatting data into other cyber security tools, comparing data

points to current company processes, and writing reports outlining business predictions or proposals.

Duties and Responsibilities:

• Responsible for monitors, analyzes, and detects cyber events and incidents within information systems and networks under general supervision.
• Assists with integrated, dynamic cyber defense, coordinates and maintains security toolsets to support organizations continuous monitoring and ongoing authorization programs.
• Establish a framework by which cyber risk can be measured and quantified in the marketplace.
• Determine security requirements by evaluating business strategies and requirements; researching information security standards; conducting system security and vulnerability analyses and risk assessments; studying architecture/platform;
• identifying integration issues; preparing cost estimates.
• Implement security systems by specifying intrusion detection methodologies and equipment and software installation and
• calibration; preparing preventive and reactive measures; creating, transmitting, and maintaining keys; providing technical support; completing documentation.
• Verifying security systems by developing and implementing test scripts.
• Maintaining security by monitoring and ensuring compliance to standards, policies, and procedures; conducting incident response analyses; developing and conducting training programs.
• Responsible for the design, development, implementation, and integration of a DoD IA architectures, systems, or system components for use within computing, network, and enclave environments.
• Ensureing that the architecture and design of development and operational systems are functional and secure. This includes design for program of record systems and special purpose processing node with platform IT interconnectivity.

Basic Qualifications:

Minimum knowledge, skills, abilities needed.

• Bachelor s degree and 5 years of experience, Master's degree and 3 years of experience, or 9 years of experience in lieu of a degree
• Minimum 4-6 years of experience performing tagging data
• Minimum 4-6 years of experience working with data source sensor tools to collect data points
• Minimum 4-6 years of experience building out data pipelines and establishing Data connections
• Minimum 4-6 years of experience in creating data pipelines to allow transfer of data from data source to I/O through Splunk
• Minimum 4-6 years of experience developing integrators/integrations (between Splunk, DbConnect, Xacta)
• Minimum 4-6 years of experience aggregating various types of data (Splunk, Xacta, DbConnect. CDM, etc.) and ability to
• create key value pairs
• Minimum 3 years of experience with ETL coding using Python
• Minimum 3 years of experience in capture all interface designs in a common interface control format, and store interface
• data in a commonly accessible repository
• Minimum 3 years of experience creating/ producing process/ procedural documentations (e.g. data dictionaries, Common
• Vernacular Documentation)
• Minimum 3 years of experience with obtaining an Authority To Operate (ATO)
• Must be able to obtain and maintain a US Public Trust clearance.

Preferred Qualifications:

Candidates with these skills will be given preferential consideration.

• Knowledge of Cyber Security Risk Assessment, governance, and reusable data model
• Exceptional knowledge of Splunk and Xacta.IO products
• Extensive experience with Python coding
• Exceptional technical writing skills
• Ability to communicate complex data in a simple, actionable way
• Ability to visualize data in the most effective way possible for a given project or study
• Analytical and problem-solving skills
• Experience with machine learning and AI
• Familiarity with data management tools
• Ability to work independently and with team members from different backgrounds
• Excellent attention to details