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Ebpf Jobs in Texas (NOW HIRING)

Connect Tech+Talent

Sr. Security Architect

Frisco, TX · On-site

Deep expertise in eBPF Security Monitoring and Runtime Application Self-Protection (RASP) frameworks. Core Qualifications & Experience: 10+ years of progressive experience in enterprise cybersecurity ...

INSPYR Solutions

Platform Security Architect

Dallas, TX · On-site

$64.25 - $83.25/hr

... mesh, eBPF, and Cilium (network policies, L7 visibility, workload isolation). • Define and govern identity and access management models for platform and service workloads. • Drive adoption of ...

GlobalLogic Inc.

Embedded System Engineer

Dallas, TX · On-site

$120K - $130K/yr

Expert-level knowledge of Linux tracing/profiling infrastructure (especially modern eBPF/BPFtrace) and kernel-level debuggers. * High-Performance Networking: Hands-on familiarity with high-speed ...

Apple

Hardware Systems Engineer - Data Center HWE

Austin, TX · On-site

$122K - $161K/yr

Familiarity with telemetry and observability stacks (Prometheus, Grafana, eBPF, etc.). Preferred Qualifications Experience with large-scale cloud providers, hyperscalers, or high-performance ...

NMC2

Senior Platform Security Engineer

Dallas, TX · On-site

$150 - $230/hr

Experience with runtime threat detection tools such as Falco or eBPF -based security tooling * Familiarity with software supply chain security frameworks ( e.g. SLSA, SBOM generation, Sigstore

Aqua Corp.

5G Network Performance Engineer

Austin, TX · On-site

Experience with the Network Packet processing stacks such as DPDK, FD.io/VPP, Linux kernel networking, eBPF/XDP, IPsec, OVS, CNIs and Service Mesh etc. * Knowledge in CPU architecture, end-to-end ...

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Ebpf information

What does an eBPF engineer do?

An eBPF job typically involves working with extended Berkeley Packet Filter (eBPF) technology to enhance Linux kernel functionality without modifying its source code. Responsibilities may include developing eBPF programs for performance monitoring, security enforcement, and networking optimizations. Engineers in this role often work with low-level system internals, C programming, and tools like BPF Compiler Collection (BCC) or eBPF Toolkit. They may collaborate with teams to improve observability, troubleshoot system behavior, and optimize application performance.

What skills and qualifications are needed for an eBPF engineer?

To thrive as an eBPF Engineer, you need deep expertise in Linux internals, networking, C programming, and familiarity with low-level systems debugging. Experience with eBPF tooling (such as bpftrace, bpftool, or LLVM), familiarity with kernel development environments, and optionally certifications in Linux or networking are highly valuable. Strong problem-solving ability, attention to detail, and effective communication with cross-functional teams are important soft skills for this position. These skills and qualities are critical for developing safe, performant, and maintainable eBPF programs that enhance system observability and security in complex environments.

What are popular job titles related to Ebpf jobs in Texas?

For Ebpf jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ebpf jobs in Texas look for?

The top searched job categories for Ebpf jobs in Texas are:

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Ebpf jobs near you
Infographic showing various Ebpf job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 97% Full Time, and 2% Contract. Highlights an 65% Physical, 11% Hybrid, and 24% Remote job distribution.

Sr. Security Architect

Connect Tech+Talent

Frisco, TX

Full-time

Re-posted 25 days ago

Job description

Job Description Job Description Sr. Security Architect Location: Frisco, TX (Onsite- local to TX or willing to relocate on own expenses) Duration: 12 Months 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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