Security Control Assessor/Representatives

BuddoBot Inc.; Arlington (VA); On-site; USD 135,000 - 160,000; Full time

Job summary

Dark Wolf Solutions seeks an experienced Security Control Assessor/Representative (SCA/R) to lead assessments across high-priority DoD AI initiatives in Arlington, VA. You will evaluate AWS security controls, RMF artifacts, and risk postures for rapid prototyping and GenAI stacks.

You will partner with cybersecurity engineering and DevSecOps teams to deliver decision-ready risk briefings and ATO recommendations, maintaining SSPs/SAPs/SARs/POA&Ms tailored to prototyping needs.

Qualifications

• Active Top Secret clearance
• DoD 8570/8140 IAM Level II or III certification
• 3-5+ years of security control assessments for DoD/federal systems
• Strong AWS cloud services knowledge and CI/CD security
• Solid RMF knowledge: NIST SP 800-53, 800-37, FedRAMP baselines
• Experience writing/evaluating RMF artifacts (SSPs, SAPs, SARs, POA&Ms)
• Experience with government GRC repositories (eMASS/XACTA)

Responsibilities

• Execute formal SCA/R duties.
• Lead security assessment efforts and develop reusable playbooks for rapid AI deployment.
• Evaluate security controls in AWS, DevSecOps, microservices, containers, and GenAI stacks.
• Collaborate with cybersecurity engineering and DevSecOps to bake security into the lifecycle.
• Review and maintain SSPs, SAPs, SARs, and POA&Ms for rapid prototyping AI systems.
• Assess risks for AI/LLM deployments including API exposure and vector DB controls.
• Support ConMon, risk evaluations, and cloud reviews across multi-tenant environments.
• Coordinate with AOs, program managers, and leads to provide risk briefings and ATO recommendations.
• Provide input for pentesting and cybersecurity engineering across prototypes.

Skills

Top Secret clearance

AWS security

Communication skills

Risk assessment mindset

Security control mindset

Education

DoD 8570/8140 IAM Level II/III

Security+ / CySA+ / CISSP / CCISO / CAP/CISC

Tools

eMASS

XACTA

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.
• 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.

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.