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# AWS Cloud Security Consultant (Application & AI Security)

- **Company:** CLEAR DATA, INC.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Burp Suite, Code Review, Cyber Security, Github, Global Positioning Systems (GPS), Python (Programming Language), Machine Learning, Open Web Application Security, Fortify (Software), Secure Coding, SonarQube, TypeScript, Data Logging, Spring Cloud, Delivery Pipeline, Large Language Models, Sonatype, Gitlab, GWAPT, Kubernetes, Information Technology, Amazon Bedrock, Checkmarx, Api Gateway, Devsecops, Serverless Computing, Jenkins, Static Application Security Testing, Vulnerability Analysis, Microservices, Dynamic Application Security Testing
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9274873/aws-cloud-security-consultant-application-ai-security

## About the Role

* Demonstrated experience with at least 2 of the 4 authorized service types
 * AWS Certified Security - Specialty, CISSP, CCSP, or an equivalent GPS-approved certification
 * Proficient with AWS security services, especially AWS WAF, Inspector, Secrets Manager, and Security Hub
 * Understanding of security frameworks (NIST, ISO, CIS) and the OWASP Top 10
 * Hands-on with SAST/DAST/SCA tools (e.g., Fortify, SonarQube, Checkmarx, Snyk, Burp Suite)
 * Container security on Kubernetes (EKS or equivalent)
 * Able to read and review code in at least one of Python, Java, JavaScript/TypeScript, or Go
 * DoD 8140-compliant baseline certification (e.g., Security+, CISSP)
 * Willing to complete annual AESP training, * OSCP, GWAPT, GPEN, or CSSLP
 * Hands-on with Amazon Bedrock, SageMaker, or other generative AI platforms
 * AWS Certified AI Practitioner or Machine Learning Engineer - Associate
 * DoD DevSecOps experience (Platform One, Iron Bank hardened containers)
 * STIG-hardened container images
 * No security clearance is required to start; an active Secret, Top Secret, or TS/SCI clearance is preferred, * B.S. in Computer Science, Information Security, or a related field, or equivalent professional experience (3+ years in security)
 * 2+ years working with AWS cloud
 * This is a remote position
 * Please note that this specific position requires U.S. citizenship status

What is Important to Us:

 * You are an excellent communicator in writing and speaking.
 * You have the ability to work independently but also value teamwork.
 * Your problem-solving skills are excellent.
 * You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career.
 * You seek a community of virtue-centered co-workers and clients.

## Description

* Embed security into CI/CD pipelines: SAST, DAST, SCA, secrets scanning, and container image scanning (GitLab, GitHub Actions, Jenkins, or CodePipeline)
 * Perform secure code reviews and threat modeling for cloud-native applications, APIs, and microservices
 * Conduct or coordinate penetration tests and vulnerability assessments, and drive findings through to remediation
 * Secure container and serverless workloads on EKS, ECS, and Lambda: image hardening, runtime protection, and least-privilege execution roles
 * Protect applications with AWS WAF, Bot Control, and API Gateway authorization
 * Secure generative AI workloads with Bedrock Guardrails, prompt-injection and data-leakage controls, model access policies, and invocation logging
 * Map AI workloads to NIST AI RMF, OWASP Top 10 for LLM Applications, and MITRE ATLAS