Senior Network Engineer

Armada is an edge computing startup that provides computing infrastructure to remote areas with limited connectivity. They are seeking a Senior Network Engineer to design, implement, and operate their global network infrastructure, ensuring scalable and secure networks for edge and GPU-enabled deployments.

Responsibilities:

• Design and maintain scalable network architectures for edge, modular, and distributed data center environments
• Define standards for routing, switching, firewalling, segmentation, and redundancy
• Design and operate modern data center network fabrics, including:
• VXLAN / EVPN-based overlay networks
• Underlay routing protocols (e.g., BGP, IS-IS, OSPF)
• Spine–leaf architectures and high-availability designs
• Define overlay / underlay separation, IP addressing strategies, and multi-tenant segmentation models
• Design and support GPU and high-performance compute (HPC) network architectures, including:
• High-bandwidth, low-latency fabrics for GPU clusters
• East–west traffic optimization for distributed compute workloads
• Define network designs to support AI/ML, inference, and GPU-accelerated workloads, accounting for throughput, latency, jitter, and congestion characteristics
• Collaborate with compute and platform teams to align GPU topology, network fabric design, and workload placement
• Own network design documentation including HLDs, LLDs, diagrams, and IP plans
• Evaluate new technologies and vendors to support edge, remote, data center, and GPU-enabled deployments
• Implement and support advanced L3 network services, including routing, firewall policies, VPNs, VXLAN/EVPN fabrics, and GPU-supporting network designs
• Lead complex troubleshooting involving:
• Overlay/underlay interaction issues
• Control-plane instability
• Data-plane forwarding anomalies
• Latency, packet loss, congestion, and convergence issues
• Implement and troubleshoot networks supporting GPU clusters and accelerated workloads, including:
• High-throughput spine–leaf fabrics
• East–west traffic patterns and microburst behavior
• Diagnose and resolve network performance issues impacting GPU workloads, including congestion, packet loss, and latency sensitivity
• Serve as the final escalation point for the NOC and infrastructure teams
• Perform root cause analysis (RCA) and drive permanent corrective actions for recurring or systemic issues
• Define and enforce engineering standards for production network changes
• Design and support hybrid connectivity models including ISP, LTE/5G, satellite, and private links
• Ensure reliable and secure connectivity for remote, industrial, and mission-critical edge sites
• Optimize network performance for latency-sensitive, bandwidth-constrained, and intermittently connected environments
• Design and enforce network segmentation across IT, OT, management, and customer-facing domains
• Implement and maintain firewall policies, VPNs, and secure remote access solutions
• Partner with security teams to align network architectures with security, compliance, and regulatory requirements
• Develop and maintain automation for network provisioning, validation, and configuration consistency
• Improve monitoring, alerting, and observability in partnership with the NOC
• Drive reliability improvements, fault isolation, and MTTR reduction through design, automation, and standards
• Mentor NOC technicians and junior network engineers
• Partner with product, infrastructure, platform, and field teams during deployments and lifecycle planning
• Provide technical leadership during major incidents, change reviews, and post-incident analysis
• Contribute to long-term network strategy and roadmap planning

Requirements:

• US Citizenship
• 7+ years experience in network engineering or infrastructure roles
• Strong expertise in routing, switching, and firewall technologies
• Hands-on experience operating complex L3 networks in production
• Proven ability to troubleshoot overlay, underlay, and performance-related network issues
• Strong documentation and communication skills
• Certifications: CCNP, JNCIP, or equivalent
• Hands-on experience with VXLAN / EVPN and spine–leaf data center architectures
• Experience designing or operating networks for GPU clusters, AI/ML, or high-performance computing environments
• Automation experience (Python, Ansible, Terraform)
• Exposure to cloud networking and hybrid architectures