Cybersecurity Consultant

Overview

Remote
On Site
$$100,000 - $120,000
Full Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - hr cap)

Skills

AMAZON WEB SERVICES
ACTIVE DIRECTORY
Infrastructure Management
network security
PUPPET
Cloud Computing
System Center Configuration Manager
Artificial Intelligence
Data Processing
Streamline
Talent Management
Configuration Management
Firewalls (Computer Science)
Recruitment
Cisco PIX
Corporate Security
IEEE 802.1X
Network Routers
Nutanix
Virtual Private Networks (VPN)
Wi-Fi Technology
Group Policy
Virtualisation Security

Job Details

Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector's IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.

*This is an exempt position. Salary commensurate with experience*

Overview:

We are seeking an experienced Cybersecurity Consultant who will support our client on a comprehensive Cybersecurity Risk Assessment. The selected candidate will be expected to perform a review of the client's data classification policy and framework, as well as asses current practices, identify gaps, recommend improvements, and develop technical controls to support secure data segmentation across clients' on-premise and cloud environments.

Duties:

  • Identify opportunities for simplification, modernization, and alignment with current cybersecurity best practices.

  • Review central IS&T systems, including email, ERP systems, student information systems, and research administration systems.

  • Evaluate security controls across both on-premise and cloud-hosted environments (excluding SaaS).

  • Develop a list of network and server controls required to isolate systems based on data classification.

  • Provide recommendations to help categorize future applications.

  • Participate in meetings, reviews, and interviews with stakeholders.

  • Prepare documentation, reports, and deliverables as per Statement of Work.

  • Collaborate closely with the project team to ensure on-time delivery of project milestones.

  • Support in establishing a clear, practical, and sustainable data classification process.

Mandatory Qualifications:

  • 9 -12 years of experience with enterprise security and infrastructure tools, including network visibility and monitoring platforms such as Gigamon and Corelight (Suricata/Zeek).

  • Experience with SIEM solutions like Splunk Cloud.

  • Experience with endpoint detection tools such as CrowdStrike.

  • Experience with modern firewall and network security technologies, including Palo Alto and Cisco ASA firewalls, router ACLs, 802.1x NAC, VPN posture checking, and Wi-Fi security management.

  • Strong experience with server and configuration management tools such as Puppet, Active Directory, Group Policy Objects (GPO), MECM, Jamf, and standardized system images.

  • Familiarity with cloud and virtualization security tools-including Nutanix and AWS security groups-as well as monitoring and observability platforms like OpsView.

  • Experience with tools for monitoring, enforcing, and improving system and network controls.

Desirable Qualifications:

  • Experience in modernizing or designing enterprise data classification policies.

  • CISSP, CISM, CISA, or equivalent certifications.

  • Familiarity with large research university environments.

  • Experience with cloud security frameworks (AWS, Azure, Google Cloud Platform).

Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.

AI-Assisted Resume Evaluation Notice

Cloud and Things Talent Management

Notice to Candidates

Cloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals.

How AI Is Used

Our AI tools assist by:

  • Analyzing resumes against job requirements
  • Supporting our recruiters in candidate data evaluation
  • Ensuring consistent review standards across all applications

Important: AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation.

Your Data and Privacy

Cloud and Things Data Handling:

  • Your information is processed securely and used exclusively for recruitment purposes
  • Cloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities
    • You may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to:
  • All personal information is handled confidentially in accordance with our privacy policy

AI Tool Data Processing:

  • AI processing data is retained for a maximum of 90 days, after which it is deleted
  • All data sent to AI tools is encrypted in transit and at rest
  • AI tools comply with applicable privacy laws including GDPR and CCPA
  • Personal data is anonymized or minimized wherever possible during AI processing

Your Participation

By submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process.


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.