Senior Security Architect

Connecttechandtalent β€” United States Β· Posted ~20 hours ago

Senior Contract Onsite

Skills

cybersecurity architecture infrastructure security advanced cryptography homomorphic encryption secure multi-party computation post-quantum cryptography privacy-preserving runtimes kernel-level observability AI/LLM security cloud-native security Post-Quantum Cryptography Homomorphic Encryption Secure Multi-party Computation AI/LLM cloud-native infrastructure Linux kernel

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Summary ✨ AI‑Generated

Lead a critical security modernization initiative as a senior security architect working at the frontier of cybersecurity. You will architect next-generation infrastructure security, advance post-quantum cryptography, implement privacy-preserving technologies, build real-time kernel-level observability, and design highly secure AI/LLM inference pipelines. Demonstrable production experience with advanced cryptographic techniques is mandatory. This is a 12-month onsite contract, with candidates expected to relocate at their own expense if necessary.

Highlights

High-impact 12-month security architecture contract focused on next-generation cybersecurity, post-quantum cryptography, privacy-preserving technologies, kernel-level observability, and secure AI infrastructure. All visa types are accepted.

Description

Job Description Sr. Security Architect Location: Frisco, TX (Onsite- local to TX or willing to relocate on own expenses) Visa: All Visas acceptable Role Type: Contract (Third-party acceptable) Duration: 12 Months The Mission: We are 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. 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: β—‰ Advanced Cryptography: Production-grade implementation of Homomorphic Encryption, Secure Multi-party Computation (SMPC), and Zero Knowledge Proofs (ZKP). β—‰ Kernel & Runtime Defense: Deep expertise in eBPF Security Monitoring and Runtime Application Self-Protection (RASP) frameworks. Core Qualifications & Experience: βŠ› 10+ years of progressive experience in enterprise cybersecurity architecture and infrastructure engineering. βŠ› Post-Quantum Strategy: Proven track record designing and implementing Post-Quantum Cryptography (PQC) strategies alongside robust crypto-agility frameworks. βŠ› Confidential Computing: Hands-on mastery of hardware-level Confidential Computing using Trusted Execution Environments (TEEs). βŠ› Identity & Zero Trust: Experience deploying Identity Threat Detection & Response (ITDR) solutions and establishing workload identities with SPIFFE/SPIRE for service-to-service authentication. βŠ› AI Pipeline Security: Hardened experience protecting live AI inference pipelines built on TensorRT-LLM and Triton Inference Server. βŠ› Cloud-Native Governance: Extensive familiarity managing Kubernetes-native security policies via Kyverno to guarantee multi-cluster policy-as-code enforcement. βŠ› Platform Engineering Integration: Experience embedding security guardrails natively into developer workflows utilizing Backstage IDP. βŠ› Cost Governance: Ability to design security structures that remain strictly aligned with enterprise FinOps principles. Key Responsibilities: βŠ› Crypto-Agility & Evolution: Formulate and roll out enterprise-wide, future-proofed cryptographic standards resilient against quantum threats. βŠ› Advanced Defense Deployment: Architect systems using SMPC, Homomorphic Encryption, and ZKPs to protect multi-tenant enterprise workflows. βŠ› Runtime Guardrails: Oversee deployment of eBPF-based security monitoring tools and RASP configurations to track and prevent active zero-day runtime exploits. βŠ› AI Infrastructure Hardening: Partner with AI/ML infrastructure squads to guarantee total data isolation and isolation boundaries for foundational large language models. βŠ› Cross-Functional Governance: Sync with risk management, platform infrastructure, and compliance leads to ensure alignment with standard threat modeling frameworks (STRIDE, MITRE ATT& CK).