# Offensive Security Control Assessor Security Control Assessor Representative **Company**: Dark Wolf Solutions **Location**: Arlington, VA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $135,000.00 - $160,000.00 **Category**: Security **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7871384003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f58428bd-4ce ## 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. **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. - Bridge the gap between OffSec and development by applying software design best practices. - Lead technical exchange meetings (TEMs), participate in Discovery & Framing workshops, and maintain effective communication with cross-functional teams and stakeholders. - Act as the primary subject matter expert and lead developer for custom offensive tooling, integrating disparate capabilities into a cohesive, mission-ready platform. - 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) - 5–7+ 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. - Experience with GitLab CI/CD (pipeline design, runners, artifact management) and AWS Cloud services (EC2, VPC, IAM, S3). - Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. - Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) - 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 - $160,000.00, commensurate on experience and technical skillset. ## Skills ### Required - AWS cloud services - DevSecOps - NIST SP 800-53 - RMF - DoD Cloud Computing SRG - FedRAMP - GitLab CI/CD - Security control assessments - Compliance testing - A&A/RMF activities ### Nice to have - NIST AI Risk Management Framework - OWASP Top 10 for LLM Applications - DoD Responsible AI Guidelines - Autonomous AI Agents - Cloud-managed AI ecosystems - Foundation model platforms - LLM guardrail platforms - AI security tools - cATO methodologies - Infrastructure as Code - Container security --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/darkwolfsolutions/jobs/7871384003?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)