Why This Role Stands Out
This Sr. Security Architect role offers a unique opportunity to work on groundbreaking Post-Quantum Cryptography and privacy-preserving technologies, fostering significant skills development in a cutting-edge field. You will thrive here if you are a visionary security professional eager to shape the future of secure AI and kernel-level observability within a reputable company. Apply now to be at the forefront of advanced security engineering.
Quick Overview
Job Description
Sr. Security Architect
Location: Frisco, TX (Onsite- local to TX or willing to relocate on own expenses)
Duration: 12 Months
Job Description
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.
Mandatory Niche Skillset:
Candidates must possess direct, demonstrable experience in the following advanced domains:
Advanced Cryptography: Production-grade implementation of Homomorphic Encryption, Secure Multi-party Computation (SMPC), and Zero Knowledge Proofs (ZKP).
Kernel & Runtime Defense: Deep expertise in eBPF Security Monitoring and Runtime Application Self-Protection (RASP) frameworks.
Core Qualifications & Experience:
10+ years of progressive experience in enterprise cybersecurity architecture and infrastructure engineering.
Post-Quantum Strategy: Proven track record designing and implementing Post-Quantum Cryptography (PQC) strategies alongside robust crypto-agility frameworks.
Confidential Computing: Hands-on mastery of hardware-level Confidential Computing using Trusted Execution Environments (TEEs).
Identity & Zero Trust: Experience deploying Identity Threat Detection & Response (ITDR) solutions and establishing workload identities with SPIFFE/SPIRE for service-to-service authentication.
AI Pipeline Security: Hardened experience protecting live AI inference pipelines built on TensorRT-LLM and Triton Inference Server.
Cloud-Native Governance: Extensive familiarity managing Kubernetes-native security policies via Kyverno to guarantee multi-cluster policy-as-code enforcement.
Platform Engineering Integration: Experience embedding security guardrails natively into developer workflows utilizing Backstage IDP.
Cost Governance: Ability to design security structures that remain strictly aligned with enterprise FinOps principles.
Key Responsibilities:
Crypto-Agility & Evolution: Formulate and roll out enterprise-wide, future-proofed cryptographic standards resilient against quantum threats.
Advanced Defense Deployment: Architect systems using SMPC, Homomorphic Encryption, and ZKPs to protect multi-tenant enterprise workflows.
Runtime Guardrails: Oversee deployment of eBPF-based security monitoring tools and RASP configurations to track and prevent active zero-day runtime exploits.
AI Infrastructure Hardening: Partner with AI/ML infrastructure squads to guarantee total data isolation and isolation boundaries for foundational large language models.
Cross-Functional Governance: Sync with risk management, platform infrastructure, and compliance leads to ensure alignment with standard threat modeling frameworks (STRIDE, MITRE ATT&CK).
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