Quick overview
Job description
Position: Senior Cybersecurity SME & Data Analyst-Cryptography( Onsite/Hybrid)
Location: Irving, TX
Duration: 12+ Months Contract( Long term )
We need a Solution Architect for an AWS-based proof of concept that uses agentic AI to find and remediate cryptographic weaknesses in enterprise applications. The most important requirement is hands-on cryptography experience: post-quantum standards (NIST FIPS 203, 204 and 205), TLS 1.3 and certificate or PKI configuration, key management with KMS or HSMs, and CBOM or SBOM tooling. The architect also needs strong AWS architecture experience across ECS, EKS, networking, KMS and Secrets Manager, plus a working knowledge of agentic AI with LangGraph, Amazon Bedrock and RAG. Terraform experience and a senior, client-facing communication style are important, and the role involves presenting to executive stakeholders. Candidates who have only applied security work, such as access control or AI guardrails, without designing or reviewing cryptographic controls are not a fit for this requirement. Please prioritise candidates who can show specific cryptography projects on their resume.
Senior Cybersecurity SME & Data Analyst (Cryptography)
About the Role:
We are seeking a Senior Cybersecurity SME to act as the primary intelligence layer for a cutting-edge AI remediation project. Working in a highly secure environment, you will analyze proprietary Cryptography Bill of Materials (CBOM) data across a massive portfolio of legacy and modern applications, translating raw security data into actionable patterns for AI engineers.
Key Responsibilities:
● Parse and analyze raw JSON/SBOM/CBOM vulnerability scans across complex enterprise applications.
● Identify critical deviations from modern encryption standards, including TLS migrations (1.0/1.2 to 1.3), cipher suite upgrades (AES-128 to AES-256-GCM), and SSH host key hardening.
● Map complex infrastructure characteristics (e.g., hardware load balancers, IoT constraints) to technical remediation requirements.
● Identify unencrypted secrets and keys in codebases, architecting mappings for secure KMS integration.
Required Qualifications:
● Senior-level expertise in Cybersecurity, Cryptography, and Security Data Analysis.
● Deep technical mastery of enterprise encryption protocols including TLS 1.3, IKEv2 IPsec, AES-256, and Post-Quantum Cryptography (PQC) standards.
● High proficiency in parsing and analyzing raw security data logs (JSON, SBOM formats).
Must clear expedited enterprise security onboarding and strictly adhere to secure data-handling protocols.
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