---
title: 'Senior Software Engineer, Network Platform at Moonlite'
canonical: 'https://feeny.ai/job/senior-software-engineer-network-platform-moonlite-chicago-xfze3h9cfcqn'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Software Engineer, Network Platform at Moonlite

- **Company:** Moonlite
- **Location:** Chicago, IL
- **Work type:** remote
- **Posted:** 2025-11-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/moonlite/jobs/4978390008

## Job description

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads. We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be foundational to building our software-defined networking (SDN) platform that enables high-performance, isolated networking for distributed computing, model training, inference, and data-intensive workloads. Working closely with our network, infrastructure, and product teams, you’ll design and implement the network orchestration and provisioning systems that manage DPU-accelerated networking, tenant isolation, and network lifecycle management – enabling researchers and engineers to access enterprise-grade networking with cloud-like simplicity.

Job Responsibilities:

- Software-Defined Networking Architecture: 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.
- Research Cluster Networking: 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.
- Network Provisioning & Lifecycle Management: Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning.
- DPU Platform Engineering: 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.
- Multi-Tenancy & Network Isolation: 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.
- High-Performance Networking: 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.
- Network APIs & Integration: Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration.
- Network Observability: Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.Security & Policy Management: Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.

Requirements:

- Experience: 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments.
- Kubernetes Networking & Container Orchestration: 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.
- Networking Expertise: Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies.
- Programming Skills: Experience with Go and Python for performance-critical networking components and services is highly valued.
- Linux Networking: Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.
- DPU & SmartNIC Experience: Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly.
- High-Performance Networking: Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads.
- Problem-Solving & Architecture: Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.
- Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.
- Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

## Preferred Qualifications

- Background provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters)
- Experience with NVIDIA Bluefield DPU programming and DOCA framework
- Background with network function virtualization (NFV) and service function chaining
- Knowledge of Kubernetes networking (CNI plugins, network policies, service mesh)
- Experience building network control planes or SDN controllers
- Familiarity with network automation frameworks and infrastructure-as-code for networking
- Understanding of data center fabric architectures (spine-leaf, CLOS topologies)
- Experience with network security and compliance requirements in regulated industries
- Background building networking for research institutions, HPC environments, or cloud providers

## Key Technologies

- Go, Python, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPC

## Why Moonlite

- Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
- Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
- Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
- Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
- Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

## About Moonlite

## Company Overview
- **One-liner**: Moonlite is a family-owned barbecue restaurant in Owensboro, Kentucky, that has been serving slow-cooked, hickory-smoked meats since 1963, and is also the name of a separate high-performance AI infrastructure company.
- **Entity Type**: Private (Restaurant – Family-Owned; AI Infrastructure – Venture-Backed)
- **Headquarters**: 2840 West Parrish Avenue, Owensboro, Kentucky, USA
- **Founded**: 1963 (restaurant); AI infrastructure company founded separately
- **Founders**: Hugh "Pappy" Bosley and Catherine Bosley (restaurant); AI infrastructure founders not named in available search results

## Core Business
- Primary industry/industries: Food & Beverage (Barbecue Restaurant, Catering, Wholesale)
- Target customers: B2C (dine-in, carryout); B2B (catering, wholesale distribution)
- Mission or purpose statement: "To carry on the tradition of slow-cooked, hickory-smoked excellence" as a family business.

## Products & Services
- **Moonlite Bar-B-Q Inn (Restaurant)**: Full-service restaurant with 350 seats, serving mutton, ribs, chicken, and other barbecue meats cooked over hickory fires. Offers dine-in, carryout, and catering.
- **Catering Department**: Capable of serving 15 to 15,000 people, with notable events including the annual Toyota company picnic (nearly 15,000 guests).
- **Wholesale Division**: Distributes barbecue and related products through distributors in a four-state area.
- **U.S.D.A. Inspected Processing Plant**: Produces and packages meats for wholesale and retail.
- **Moonlite AI (Separate Entity)**: High-performance AI infrastructure platform. Provides enterprise-grade compute, networking, and storage for AI workloads, with SOC 2, ISO 27001, and ISO 42001 certifications. Offers roles in software engineering and site reliability.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private, family-owned restaurant)
- **Key Metric**: Serves over 350,000 meals per year; staff of over 120 employees; largest mutton distributor in the country, serving over 10,000 pounds of mutton per week.
- **Notable Investors/Partners**: Not publicly available (family-owned)
- **Growth Signals**: Third and fourth generations of the Bosley family now operate the business; awarded "Best Barbecue in Kentucky" by Kentucky Monthly and Kentucky Living readers. Remains a pillar of the Owensboro community.

## Competitive Advantages
- **Heritage & Authenticity**: Over 50 years of family tradition and a distinctive hickory-smoking process that takes two years (4,200 hours) to train a pitmaster.
- **Scale & Reputation**: The largest mutton distributor in the country, serving a massive annual volume and capable of catering to 15,000-person events.
- **Community & Culture**: Deep ties to Owensboro, Kentucky, supporting local charities and recognized as a "Kentucky legend."

## Strategic Focus
- Continuing the family tradition of slow-cooked, hickory-smoked barbecue.
- Expanding catering and wholesale operations.
- Maintaining high quality and consistency in preparation (12-hour slow cook over hand-built hickory fires).

## Why Work Here
- **Family-Oriented Culture**: Built on hard work, dedication, and family values with a close-knit team of over 120 members.
- **Stability & Legacy**: A long-standing, successful family business with multi-generational ownership.
- **Variety of Roles**: Opportunities in kitchen/prep, pit cooking, counter service, hosting, cashiering, buffet, server, catering, and dishwashing.
- **Location**: Owensboro, Kentucky; on-site roles. No remote or hybrid options indicated.
- **Perks**: Part of a well-respected local institution; community involvement; potential for growth within the expanding catering and wholesale operations.

## Sources
1. [moonlite.com/career](https://moonlite.com/career/) – Job application and company description
2. [moonlite.com/about-us](https://moonlite.com/about-us/) – Company history and founding story
3. [moonlite.com/media-room](https://moonlite.com/media-room/) – Media facts, history timeline, catering highlights
4. [moonlite.ai](https://www.moonlite.ai/) – Separate AI infrastructure company website (note: this is a different entity)

## Other roles at Moonlite

- [Sr. Site Reliability Engineer (SRE)](https://feeny.ai/job/sr-site-reliability-engineer-sre-moonlite-chicago-szpan0bxmm1m) — Chicago, IL
- [Senior Software Engineer, Platform Infrastructure](https://feeny.ai/job/senior-software-engineer-platform-infrastructure-moonlite-chicago-yv59hhwwtazr) — Chicago, IL
- [Senior Software Engineer, Compute Platform](https://feeny.ai/job/senior-software-engineer-compute-platform-moonlite-chicago-t61j0gcp1sm1) — Chicago, IL