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Virtual Network Engineer Jobs in Addison, IL (NOW HIRING)

Deegit Inc

Network Architecture

Deerfield, IL · On-site

$65.75 - $88.25/hr

... senior engineer (over 10 years' experience) - LAN/Data communications - Data Center/Storage ... virtual), storage and archiving, Exchange, mobility, and system backups and replication. • ...

Addison Group

Sr. Network Administrator

Chicago, IL · On-site

$45 - $55/hr

We are seeking a Senior Network Administrator / Infrastructure Engineer to provide hands-on support ... Maintain VMware virtual infrastructure, including hosts, virtual machines, vCenter, resource ...

Addison Group

Sr. Network Administrator

Mundelein, IL · Remote

$45 - $55/hr

We are seeking a Senior Network Administrator / Infrastructure Engineer to provide hands-on support ... Maintain VMware virtual infrastructure, including hosts, virtual machines, vCenter, resource ...

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Showing results 21-40

All JobsNetwork Engineer JobsVirtual Network Engineer JobsVirtual Network Engineer Jobs in Addison, IL

Virtual Network Engineer information

See Addison, IL salary details

$31.1K

$109.2K

$158.3K

How much do virtual network engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for virtual network engineer in Addison, IL is $109,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a virtual network engineer?

Virtual Network Engineers are IT professionals who design, implement, manage, and troubleshoot virtualized network environments. They work with technologies such as software-defined networking (SDN), network virtualization, and cloud-based network infrastructure to ensure secure and efficient data flow. Their responsibilities often include configuring virtual network devices, optimizing network performance, and supporting cloud migration or hybrid environments. These engineers play a crucial role in modern organizations as businesses increasingly rely on virtual and cloud-based networks.

What are the key skills and qualifications needed to thrive as a virtual network engineer?

To thrive as a Virtual Network Engineer, you need expertise in networking fundamentals, virtualization technologies, and a relevant degree or certifications such as Cisco CCNA/CCNP or VMware VCP. Familiarity with network monitoring tools, virtual private networks (VPNs), cloud platforms like AWS or Azure, and automation systems is essential. Strong problem-solving, communication, and collaboration skills help you manage complex virtual environments and work effectively with cross-functional teams. These abilities are crucial for ensuring secure, scalable, and reliable network infrastructures in today's increasingly virtualized IT landscape.

What are some common challenges faced by virtual network engineers when managing cloud-based network infrastructure?

Virtual Network Engineers often encounter challenges such as ensuring network security across distributed cloud environments, maintaining consistent connectivity between on-premises and cloud resources, and troubleshooting latency or performance issues. Adapting to rapidly evolving cloud platforms and integrating new virtualization tools can also require continuous learning. Collaboration with security, DevOps, and cloud architecture teams is essential to proactively address these challenges and ensure seamless network operations.

What is the difference between Virtual Network Engineer vs Network Administrator?

AspectVirtual Network EngineerNetwork Administrator
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentRemote/virtual, cloud-based networksOn-site or hybrid, local networks
ResponsibilitiesDesigning, implementing, managing virtual/cloud networksMaintaining and troubleshooting local network infrastructure
Industry UsageIT, cloud service providers, remote organizationsCorporate, educational, healthcare institutions

The Virtual Network Engineer focuses on designing and managing virtual and cloud-based networks, often working remotely. In contrast, the Network Administrator maintains physical network infrastructure on-site. Both roles require similar certifications but differ mainly in work environment and network scope.

What are the most commonly searched types of Network Engineer jobs in Addison, IL?

The most popular types of Network Engineer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Virtual Network Engineer jobs?

Cities near Addison, IL with the most Virtual Network Engineer job openings:

Virtual Network Engineer jobs near you
Infographic showing various Virtual Network Engineer job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $109,243 per year, or $52.5 per hour.

Senior Software Engineer, Network Platform

Chicago, IL • On-site

Moonlite AI
See more jobs at Moonlite AIexternal

$107K - $146K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Collaborate with infrastructure teams to design, build, and optimize scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs for high-performance AI workloads.

  • Design, implement, and automate networking systems for research computing environments, including Kubernetes and SLURM clusters, to enable high-performance connectivity and seamless integration with cluster orchestration.

  • Develop platform capabilities for managing Bluefield-3 DPUs, including virtual function management, network function deployment, and building network security features to ensure tenant isolation and secure workloads.

Job description

Job Summary:
Moonlite AI delivers high-performance AI infrastructure for organizations running intensive computational research and data processing workloads. The Senior Software Engineer, Network Platform will be responsible for building a software-defined networking platform that enables high-performance, isolated networking for distributed computing and model training.
Responsibilities:
• 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.
Qualifications:
Required:
• 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 – or strong ability to learn quickly.
• 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.
Preferred:
• 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
Company:
Moonlite AI is a technology company. Founded in 2024, the company is headquartered in Chicago, USA, with a team of 2-10 employees. The company is currently Early Stage.

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