Senior Software Engineer, Network Platform

Job not on LinkedIn

🕒 March 18

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $165k - $225k / year

⏰ Full Time

🟠 Senior

🛜 Network Engineer / Network Administrator

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Moonlite

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

🏪 Marketplace

👥 B2C

Education • Marketplace • B2C

Moonlite is a community-driven web platform that helps people discover, compare, and trust proven ways to make money. It curates thousands of business ideas, resources, creators, and courses, all validated and rated by real users so seekers can avoid hype and focus on what works. Moonlite offers community discussions, reviews, side-by-side comparisons, and a quick survey to match users with suitable income paths, aimed at helping individuals build financial freedom with confidence.

📋 Description

• Collaborate with infrastructure to design and build scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs to deliver programmable, high-performance networking for AI workloads with hardware-accelerated forwarding isolation. • Design and implement networking systems for research computing environments including Kubernetes and SLURM clusters, enabling high-performance connectivity, optimized network topology for distributed workloads, and seamless integration with cluster orchestration systems. • Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning. • Develop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systems. • Build enterprise-grade network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure complete tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads. • Collaborate with infrastructure to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication, ensuring minimal latency and maximum throughput for distributed training and large-scale computational workloads. • Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration. • Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns. • Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.

🎯 Requirements

• 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments. • Strong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resources. • Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures. • Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies. • Experience with Go and Python for performance-critical networking components and services is highly valued. • Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems. • Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware. • Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads. • Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture. • Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation. • Growth mindset with continuous focus on learning and professional development.

🏖️ Benefits

• 6% 401(k) match • fully covered health insurance premiums • other comprehensive offerings to support your well-being and success as we grow together