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$135k–$150k/yr
Full-time
professional certificate
Posted 14d ago
~40 hrs/week
Responsibilities
The Security Control Assessor will lead security control assessments for high-priority projects, focusing on AI/LLM technologies and cloud infrastructure. They will collaborate with engineering teams to integrate security controls, maintain RMF artifacts, and provide risk briefings to stakeholders.
Requirements
Candidates must possess an active Top Secret clearance and a DoD 8570/8140 IAM Level II or III certification. At least 3–5 years of experience in security control assessments, compliance testing, or RMF activities within DoD or federal environments is required.
Full job description
Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include:
Key Responsibilities
Execute formal SCA/R duties.
Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows.
Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks.
Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle.
Review, author, and maintain assessment packages—including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms—tailored to rapid prototyping and AI systems.
Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies.
Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments.
Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations.
Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects.
Required Qualifications
Active Top Secret security clearance
Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC)
3–5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems
Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments.
Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines.
Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams.
Hands-on experience navigating government GRC repositories, such as eMASS or XACTA.
Desired Qualifications
Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines.
Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures).
Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models).
Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector).
Familiarity evaluating risks unique to LLMs—including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex).
Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety.
Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker).
Active AWS Certifications (e.g., AWS Certified Security – Specialty or AWS Certified Solutions Architect).
Background or familiarity with offensive security, penetration testing
The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset.
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.
In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.
Related keywords
Security Control AssessorCybersecurityAWSDevSecOpsRMFNIST SP 800-53FedRAMPeMASSXACTAGenAILLMCloud SecurityTop Secret ClearanceDoD 8570Security+CISSP
Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. By combining the most innovative emerging technologies with deep federal domain expertise, Dark Wolf operates at the nexus of technical innovation and mission needs.
Offices: 13454 Sunrise Valley Dr, Suite 550, Herndon, Virginia 20171, US · 980 Elkton Dr, Colorado Springs, Colorado 80907, US · 100 North Point Center, Alpharetta, Georgia 30022, US · 3906 Raynor Pkwy, Suite 301, Bellevue, Nebraska 68123, US · 1412 Legend Hills Dr, Clearfield, Utah 84015, US
Based on 805 listings with disclosed salaries, most technology jobs in Herndon, VA pay between $99k–$210k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Herndon, VA right now?
There are currently 963 open technology positions in Herndon, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Herndon, VA?
Companies currently hiring include Amazon, Peraton, General Dynamics Information Technology, Dark Wolf, Booz Allen Hamilton, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Herndon, VA?
Yes — 192 of the 963 open technology positions offer remote or hybrid work (65 remote, 127 hybrid).
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