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Cybersecurity Engineer

Celer Soft LLCDallas, TX🇺🇸United StatesPosted 21 Aug 2026

Why This Role Stands Out

Advance your career by protecting cutting-edge AI cloud platforms, leveraging your expertise in AWS, AI security, and DevSecOps to build robust defenses. This hybrid role offers significant growth opportunities and the chance to shape the future of AI security for a reputable company. If you have a passion for innovation and a strong background in cloud security, you'll thrive here.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
5 days ago
AWSOWASPCloudFormationGenerative AILLMTerraform

Job Description

Job Title: Cybersecurity Engineer

Role: AI Cloud Security Engineer

Dallas TX (Hybrid)



Position Overview

The AI Cloud Security Engineer will implement and operationalize enterprise security capabilities across Airlines' cloud-hosted AI platforms. This role is primarily responsible for establishing preventive, detective, and governance controls for Generative AI and Agentic AI workloads hosted on AWS, with an emphasis on AWS Bedrock Security Guardrails, CrowdStrike AIDR for Agents, and frontier model security.

The ideal candidate bridges architecture design and hands-on automation, integrating frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and MITRE ATLAS into enterprise CI/CD pipelines and cloud security operating models.

Required Skills & Experience (Prioritized)

AWS AI & Bedrock Security (5+ years Cloud, 1-2+ years AI Security): Direct hands-on experience configuring AWS Bedrock Guardrails, model access policies, content moderation filters, and foundation model protections.

AWS Cloud Engineering & IaC: Strong proficiency with AWS core security (IAM, SCPs, AWS Organizations) and Infrastructure as Code (Terraform or CloudFormation).

Runtime Protection & EDR/AIDR: Proven experience deploying and managing CrowdStrike Falcon, CrowdStrike AIDR, or equivalent cloud runtime detection platforms.

GenAI / LLM / Agentic AI Security: Deep technical understanding of RAG architectures, AI agent frameworks, prompt injection mitigations, output validation, and token abuse prevention.

AI Vulnerability Testing: Practical experience conducting security assessments and penetration tests specific to LLMs, tool integrations, and data leakage scenarios.

CI/CD & DevSecOps: Experience integrating automated security gates and policy-as-code into continuous integration/continuous deployment pipelines.

Cloud Logging & Observability: Expertise in aggregating AI telemetry via Amazon CloudWatch, SIEM tools, or OpenTelemetry.

Qualifications & Education

Education: Bachelor s degree in Cybersecurity, Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience. Advanced degree preferred.

Basic Requirements: Must be at least 18 years old with legal authorization to work in the United States without sponsorship (Immigration Reform Act of 1986).

Preferred Certifications

AWS Certified Security - Specialty

AWS Certified AI Practitioner or AWS Cloud Practitioner

CrowdStrike Falcon Platform Certifications (e.g., CCFA, CCFR)

Industry Security Certifications: CISSP, CCSP, or GIAC Cloud Security (GCSA/GPCS)

Regards,

Ram

Celersoft LLC

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