Python Developer/Automation Engineer
3400 Reston VA Headquarters
Full Time Senior-level / Expert USD 101K - 183K
The U.S. Department of Homeland Security (DHS), Customs and Border Protection (CBP) Security Operations Center (SOC) is a U.S. Government program responsible to prevent, identify, contain and eradicate cyber threats to CBP networks through monitoring, intrusion detection and protective security services to CBP information systems including local area networks/wide area networks (LAN/WAN), commercial Internet connection, public facing websites, wireless, mobile/cellular, cloud, security devices, servers and workstations. The CBP SOC is responsible for the overall security of CBP Enterprise-wide information systems, and collects, investigates, and reports any suspected and confirmed security violations.
Leidos is seeking a Python Developer/Automation Engineer to join our team. As a member of this highly technical Operations Enhancement team supporting U.S. Customs and Border Protection (CBP), you will be responsible for developing, testing, and maintaining scripts/code used for automating workflows, processes and tasks within the Security Orchestration, Automation, and Response (SOAR) platform in support of the CBP SOC.
Primary Responsibilities:
Author, test, and maintain automation scripts/workflows within SOAR platform.
Design, implement, and maintain efficient and reusable Python code.
Review, debug, and resolve technical issues throughout all stages of SDLC.
Integrate SOAR platform with other security tools and APIs to execute automated workflows.
Coordinate with System Administrators, Engineers, and ISSOs to provision service accounts and/or grant required permissions.
Assist with process development and process improvement for Security Operations to include creation/modification of SOPs, Playbooks, and Work instructions.
Measure effectiveness of process improvement and automation efforts via metrics and KPIs.
Basic Qualifications:
Bachelors’ degree from an accredited college in a related discipline, or equivalent experience/combined education, with 8 to 12 years of professional experience; or 6 to 10 years of professional experience with a Masters’ degree.
Additional years of experience and certifications may be considered in lieu of a degree.
Have expert proficiency with Python.
Working knowledge of SOAP/REST APIs, JSON, HTML/CSS, Javascript, XML.
Experience with SOAR platforms such as Swimlane, Phantom, Demisto, etc.
Experience as a SOC Analyst and/or Incident Responder.
Authored SOC SOPs, playbooks, work instructions and/or other process documents.
Familiarity with Splunk Search Processing Language (SPL) and/or Elastic Domain Specific Language (DSL).
General networking knowledge to include operation of routers, firewalls, DNS, DHCP, subnetting, VPN and Web Proxies
Preferred Qualifications:
Should have 2 years of experience serving as a SOC Analyst or Incident Responder
Clearance:
All Department of Homeland Security CBP SOC employees are required to favorably pass a 5-year (BI) Background Investigation
Original Posting Date:
2024-11-14While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $101,400.00 - $183,300.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Tags: APIs Automation Business Intelligence Clearance Cloud DNS Firewalls Intrusion detection JavaScript JSON KPIs Monitoring Python SDLC SOAR SOC Splunk Swimlane VPN XML
Perks/benefits: Equity / stock options
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.