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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Network Engineer - **Company:** Faraday Future - **Location:** El Segundo, United States - **Experience:** Expert - **Salary:** $105,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Wireless LAN, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Border Gateway Protocol, Cloud Computing, Computer Clusters, Configuration Management, Data Centers, Distributed File Systems, Domain Name System (DNS), Ethernet, Enhanced Interior Gateway Routing Protocol, Monitoring of Systems, InfiniBand, Intrusion Detection and Prevention, Storage Area Network (SAN), Virtual Private Networks (VPN), Python (Programming Language), Network Security, Machine Learning, Netconf, NetFlow, Network Architecture, Network Planning and Design, Network Monitoring, Network Segmentation, Open Shortest Path First (OSPF), Peering, Performance Tuning, Remote Direct Memory Access, Cloud Services, Ansible, Zero Trust Network Access, Simple Network Management Protocols, Systems Integration, Virtual Local Area Networks, Wide Area Networks, Datadog, Cloud-native Network Functions (CNF), Scripting, Computer Networking Systems, Load Balancing, Computer Network Operations, High Performance Computing, System Availability, Large Language Models, Grafana, Mttr, Software Troubleshooting, Reliability of Systems, HybridCloud, Firewalls (Computer Science), Amazon Virtual Private Cloud (VPC), Juniper, Git, Data Center Networking, Infrastructure Automation Frameworks, Information Technology, Low Latency, Palo Alto Networks, Fortinet, Routing & Switching, Restful APIs, Terraform, Open Network Automation Platform, Software Version Control, Cisco, Nvme, Vmware - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-network-engineer-faraday-future-9675977 ## About the Role * Education: Bachelor's degree or above in Computer Science, Network/Electrical Engineering, or a related field. * Experience: 8+ years of network engineering experience designing and operating enterprise, data center, and/or cloud networks. * Networking Core: Deep expertise in routing & switching (BGP, OSPF, EIGRP, VLAN, STP, VXLAN), LAN/WLAN, WAN/SD-WAN, and load balancing. * Network Automation: Hands-on automation with Python, Ansible, Terraform, and REST/NETCONF APIs, including Infrastructure-as-Code and version control (Git). * AI / AIOps: Practical experience applying AI/ML or AIOps tools and LLM-based assistants to network monitoring, troubleshooting, or automation. * Cloud Networking: Experience with cloud networking on AWS and/or Azure (VPC/VNet, transit/peering, VPN/Direct Connect/ExpressRoute, DNS). * Network Security: Solid understanding of network security, firewalls, NAC, VPN, segmentation, and Zero Trust principles. * Security: Hands-on experience with Cisco, Arista, Juniper, Palo Alto, Fortinet, or equivalent network platforms. * Monitoring & Observability: Experience with network monitoring, telemetry, and observability tooling and proactive alerting. * Collaboration: Strong troubleshooting, documentation, and cross-functional communication skills. * Cluster & Storage: Experience with data center compute/GPU clusters and storage networking (SAN/NAS, iSCSI, NVMe-oF, Fibre Channel) and high-performance, low-latency lossless fabrics (RDMA/RoCE/InfiniBand)., * Certifications: CCNP / CCIE, AWS/Azure networking, or equivalent industry certifications. * Network AIOps Platforms: Experience with AI/ML-driven network platforms such as Cisco DNA Center / ThousandEyes, Juniper Mist AI, or similar AIOps tooling. * SD-WAN / SASE: Experience with SD-WAN and SASE/SSE solutions (Cisco, VMware VeloCloud, Palo Alto Prisma, Zscaler, etc.). * Manufacturing / OT Networking: Experience with manufacturing, industrial, or OT/IT converged networks. * Data Center Fabric: Experience with data center fabric, spine-leaf, and EVPN/VXLAN in high-throughput environments. * Telemetry & Analytics: Experience building network telemetry, observability, and analytics pipelines (streaming telemetry, NetFlow, Grafana, ELK). * NetDevOps at Scale: Proven track record of leading network automation / NetDevOps transformation at scale. * AI Tooling & Scripting: Strong scripting/development background and experience integrating AI copilots/agents into IT and network operations. * HPC / GPU Clusters: Experience supporting HPC / GPU cluster networking for AI/ML training (RoCE/InfiniBand fabrics, GPUDirect) and storage performance tuning (parallel/distributed file systems, NVMe-oF, tiered storage). ## Description * Network Architecture & Design: Design and implement enterprise, data center, and manufacturing/OT network architectures spanning campus LAN/WLAN, WAN/SD-WAN, routing, switching, and segmentation. Define standards for high availability, redundancy, and scalability across corporate offices, plants, data centers, and cloud. Lead network capacity planning, technology selection, and the long-term network roadmap. * Network Automation & Infrastructure as Code: Build network automation using Python, Ansible, Terraform, and device APIs (REST/NETCONF) to standardize provisioning, configuration management, and change deployment. Develop CI/CD pipelines and Infrastructure-as-Code (IaC) workflows for network changes to eliminate manual, error-prone operations. Create event-driven and self-service automation for routine network tasks. * AI-Driven Network Operations (AIOps): Apply AI/ML and AIOps to network monitoring, anomaly detection, predictive capacity planning, and automated root-cause analysis. Leverage LLM-based copilots and agents to accelerate troubleshooting, generate and review device configurations, parse logs, and automate runbooks. Build closed-loop automation from AI-driven insight to remediation with appropriate guardrails and human-in-the-loop approval. * Cloud & Hybrid Networking: Design and manage cloud and hybrid-cloud networking across AWS and/or Azure, including VPC/VNet design, transit gateways/peering, VPN/Direct Connect/ExpressRoute, load balancing, and DNS. Ensure secure, high-performance connectivity between on-premises, data center, and cloud workloads, and embed automation and observability into cloud network operations. * Network Security & Zero Trust: Implement network security controls including next-generation firewalls, NAC, micro-segmentation, VPN, and Zero Trust Network Access (ZTNA). Partner with security teams on threat detection, policy enforcement, and compliance. Use AI-assisted tooling for security event correlation, automated response, and continuous posture assessment. * Reliability, Monitoring & Observability: Deploy and operate the network monitoring and observability stack (streaming telemetry/SNMP, NetFlow, Grafana, ELK, network performance monitoring). Define SLAs/SLOs, alerting, on-call, and incident response. Drive MTTR reduction through automation and AI-augmented analytics, and continuously improve network reliability. * Data Center & Manufacturing Connectivity: Support data center networking (spine-leaf fabric, EVPN/VXLAN, high throughput), structured cabling standards, and plant/manufacturing connectivity (industrial Ethernet, OT/IT convergence, and wireless coverage). Ensure resilient, high-availability connectivity for production-critical and R&D systems. * Compute Cluster & Storage Networking: Design and operate high-performance networking for compute/GPU clusters and HPC environments (low-latency, high-bandwidth fabrics, RDMA/RoCE/InfiniBand) and storage networking (SAN/NAS, iSCSI, NVMe-oF, Fibre Channel). Ensure resilient, high-throughput, lossless connectivity between compute clusters, storage arrays, and the data center fabric to support AI/ML training, simulation, and R&D workloads. * Technical Leadership & Collaboration: As a senior engineer, lead network design reviews and key technical decisions, mentor junior engineers, and set best practices for automation and AI adoption in network operations. Collaborate cross-functionally with IT, security, cloud, and manufacturing teams, manage vendors and carriers, and drive the evolution toward intelligent, automated network operations. ## Related Videos - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Stop Committing Your Secrets - GIt Hooks To The Rescue!](https://www.wearedevelopers.com/videos/573-stop-committing-your-secrets-git-hooks-to-the-rescue) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)