Cybersecurity Engineer - Washington, DC
Apply NowCompany: Georgia IT, Inc.
Location: Washington, DC 20011
Description:
Job Title: Cybersecurity Engineer
Location: Washington, DC
Position type: Contract
Rate: DOE
US Citizen, Green Card, GC EAD and H4 EAD accepted, no third party C2C agencies.
Job Description
Location: Washington, DC
Position type: Contract
Rate: DOE
US Citizen, Green Card, GC EAD and H4 EAD accepted, no third party C2C agencies.
Job Description
- Minimum of 5 years of experience with detection technologies (e.g. Snort, Suricata, Bro, netsniff)
- Minimum of 4 years of experience with scripting languages (e.g. Ruby, Python, Perl, and Powershell)
- Minimum of 2 years of experience with cloud technologies (e.g. AWS, Azure, OpenStack)
- Minimum of 1 year of experience with secure development life-cycles
- Minimum of 1 year of experience with identity management and authentication
- 5-7 years of experience administering Windows and Unix-like operating systems (e.g. Linux, OSX)
- 5-7 years' experience administering orchestration tools such as Puppet, SALTStack, Chef, or Ansible
- Experience in computer security incident response, including forensic investigations and chain of custody
- Experience with CheckPoint (R80) and Cisco ASA firewalls.
- Experience with Cisco AMP and Cisco Email Security Appliances
- Experience with multifactor authentication mechanisms
- Experience with the Cisco networking technology stack, including VPN
- Experience in Enterprise logging, log analysis and correlation engines
- Nice to have familiarity with industrial control systems Cyber Security norms and standards (IEC62443, NERC-CIP, ANSSI, ISO 27k...)
- Prior experience working within an Agile framework (Scrum/Kanban)One or more Security Certifications or equivalent (CISSP, etc.)One or more Platform Certifications or equivalent (RHCE, LFCE, etc)Knowledge of CI/CD and automation tools (Chef, Git, Jenkins)Experience in securing cloud infrastructure such as AWS, Azure and alike (i.e., inspection, logging, WAF, VM)
- Experience in deployment of cloud controls for infrastructure, platform, and applications (IaaS/SaaS/PaaS), specifically within AWS, Azure and GCP
- Familiarity with data analytics and machine learning principles and techniques
- Knowledge of SIEM API integration techniques.