
AWS Cloud Security Consultant – Application, AI Security
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in United States.
• Integrate security measures within CI/CD pipelines utilizing SAST, DAST, SCA, secrets scanning, and container image scanning.
• Execute secure code reviews and perform threat modeling for cloud-native applications, APIs, and microservices.
• Facilitate or organize penetration tests and vulnerability assessments.
• Propel security issues through to resolution.
• Safeguard container and serverless workloads on EKS, ECS, and Lambda via image hardening, runtime protection, and least-privilege execution roles.
• Shield applications with AWS WAF, Bot Control, and API Gateway authorization mechanisms.
• Secure generative AI workloads using Bedrock Guardrails, prompt-injection and data-leakage controls, model access policies, and invocation logging.
• Align AI workloads with NIST AI RMF, OWASP Top 10 for LLM Applications, and MITRE ATLAS frameworks.
• Assist customers in delivering secure code and safeguarding AI workloads.
• Collaborate with clients and VSO teams as part of a remote consulting initiative.
• Proven experience with a minimum of 2 of the 4 authorized service types.
• AWS Certified Security – Specialty, CISSP, CCSP, or an equivalent GPS-approved credential.
• Expertise in AWS security services, particularly AWS WAF, Inspector, Secrets Manager, and Security Hub.
• Familiarity with NIST, ISO, CIS, and OWASP Top 10 security frameworks.
• Practical experience with SAST/DAST/SCA tools such as Fortify, SonarQube, Checkmarx, Snyk, or Burp Suite.
• Container security experience on Kubernetes (EKS or similar).
• Capability to read and review code in Python, Java, JavaScript/TypeScript, or Go.
• DoD 8140-compliant baseline certification, such as Security+ or CISSP.
• Willingness to undergo annual AESP training.
• Bachelor’s degree in Computer Science, Information Security, or a related discipline, or equivalent professional experience.
• Over 3 years of experience in security if utilizing equivalent professional experience.
• More than 2 years of experience working with AWS cloud.
• U.S. citizenship is required.
• OSCP, GWAPT, GPEN, or CSSLP certifications are preferred.
• Hands-on experience with Amazon Bedrock, SageMaker, or other generative AI platforms is preferred.
• AWS Certified AI Practitioner or Machine Learning Engineer – Associate is preferred.
• DoD DevSecOps experience is preferred.
• Experience with STIG-hardened container images is preferred.
• Active Secret, Top Secret, or TS/SCI clearance is preferred.
• Continuous learning and development opportunities.
• Competitive salary packages.
• Comprehensive health benefits.
• Flexible work arrangements.
• Health, retirement, and professional development benefits for eligible employees.
• Regular performance evaluations.
• Opportunities for career advancement.
• A team and workplace culture centered on virtues.
Commit
Commit
Angi
GuidePoint Security
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