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Sr. Security Architect Opportunity | C2C | 15+ Years Experience

šŸ‡ŗšŸ‡ø United States

Management

Machine Learning

Design

Large Language Models

Cybersecurity

Security Engineer

Sr. Security Architect Opportunity | C2C | 15+ Years Experience

from šŸ‡ŗšŸ‡ø United States

Role: Sr. Security Architect

Location: Frisco, TX (Onsite- local to TX or willing to relocate on own expenses)

Duration: 12 Months

Experience: 15+ Years

The Mission:

Client is launching a critical, top-priority security modernization initiative. We are seeking a visionary Lead Cryptography & Next-Gen Infrastructure Security Architect to shield our cloud-native platforms from the next decade of digital threats.

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This role operates at the cutting edge of frontier security engineering. You will spearhead our transition into Post-Quantum Cryptography (PQC), architect advanced privacy-preserving runtimes, implement real-time kernel-level observability, and construct highly secure AI/LLM inference pipelines.

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Mandatory Niche Skillset:

Candidates must possess direct, demonstrable experience in the following advanced domains:

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ā—‰ Advanced Cryptography: Production-grade implementation of Homomorphic Encryption, Secure Multi-party Computation (SMPC), and Zero Knowledge Proofs (ZKP).

ā—‰ Kernel & Runtime Defense: Deep expertise in eBPF Security Monitoring and Runtime Application Self-Protection (RASP) frameworks.

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Core Qualifications & Experience:

āŠ› 10+ years of progressive experience in enterprise cybersecurity architecture and infrastructure engineering.

āŠ› Post-Quantum Strategy: Proven track record designing and implementing Post-Quantum Cryptography (PQC) strategies alongside robust crypto-agility frameworks.

āŠ› Confidential Computing: Hands-on mastery of hardware-level Confidential Computing using Trusted Execution Environments (TEEs).

āŠ› Identity & Zero Trust: Experience deploying Identity Threat Detection & Response (ITDR) solutions and establishing workload identities with SPIFFE/SPIRE for service-to-service authentication.

āŠ› AI Pipeline Security: Hardened experience protecting live AI inference pipelines built on TensorRT-LLM and Triton Inference Server.

āŠ› Cloud-Native Governance: Extensive familiarity managing Kubernetes-native security policies via Kyverno to guarantee multi-cluster policy-as-code enforcement.

āŠ› Platform Engineering Integration: Experience embedding security guardrails natively into developer workflows utilizing Backstage IDP.

āŠ› Cost Governance: Ability to design security structures that remain strictly aligned with enterprise FinOps principles.

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Key Responsibilities:

āŠ› Crypto-Agility & Evolution: Formulate and roll out enterprise-wide, future-proofed cryptographic standards resilient against quantum threats.

āŠ› Advanced Defense Deployment: Architect systems using SMPC, Homomorphic Encryption, and ZKPs to protect multi-tenant enterprise workflows.

āŠ› Runtime Guardrails: Oversee deployment of eBPF-based security monitoring tools and RASP configurations to track and prevent active zero-day runtime exploits.

āŠ› AI Infrastructure Hardening: Partner with AI/ML infrastructure squads to guarantee total data isolation and isolation boundaries for foundational large language models.

āŠ› Cross-Functional Governance: Sync with risk management, platform infrastructure, and compliance leads to ensure alignment with standard threat modeling frameworks (STRIDE, MITRE ATT&CK).

All your information will be kept confidential according to EEO guidelines.

by @maxrusakovic