Software/Network Engineer

Software Engineer / Network Architect

 
Job Summary

Gluware is hiring a Network Engineer who has shifted into — or is actively moving toward — Software Engineering. This full-time position reports to the Sr. Director of Solutions Engineering and joins a team of Network and Software Engineers. You'll collaborate to deliver automation solutions to Gluware's enterprise customers using our market-leading platform, while staying ahead of the curve on AI-assisted workflows and tooling.

About Gluware

Gluware is the intelligent network automation industry leader, powering self-operating enterprise networking for Global 2000 companies across finance, healthcare, pharma, energy, and more. Our platform helps the world's largest enterprises prevent critical network outages, maintain compliance, and keep pace with ever-changing business requirements — through a multi-vendor, multi-platform, intent-based approach that requires no custom scripting.

Our solutions span the full network automation lifecycle: Discovery & Inventory, OS Manager, Config Model Editor, Config Drift & Audit, Network RPA, Topology, Workflows, and more — all backed by DIAL™ (our Device Interaction and Automation Layer). We're also actively building Gluware.ai and Gluware Titan, bringing AI natively into network automation workflows.

We offer a competitive salary and benefits package, real growth opportunities, and a team that genuinely enjoys the work. Come help us push enterprise networking forward.

Responsibilities

Build and test supported vendor reference architectures in Gluware's physical and virtual lab environments

Document working reference architecture implementations used in production enterprise networks

Translate vendor architectures into the Gluware orchestration engine via dynamic data modeling

Contribute code and fixes to the Gluware platform to support enterprise customer automation needs

Collaborate with Gluware Software Architects and Engineering on automation supporting reference architectures and vendor platforms

Partner with Pre-Sales and Sales teams, advising on automation approaches for enterprise, campus, and cloud architectures

Stay current on major network and cloud vendor architectures, products, and evolving AI/ML capabilities relevant to network automation

Leverage AI tools (e.g., Copilot, Cursor, LLM-assisted scripting) to accelerate development, code review, documentation, and troubleshooting workflows

Execute on directed strategy and solve challenges efficiently and effectively

Qualifications

Master’s degree in information technology, Computer Science, or equivalent hands-on experience

2–3 years of hands-on network engineering experience (design, implementation, or operations)

Strong scripting experience in JavaScript and/or Python

Integration experience between software platforms using REST APIs

Demonstrated use of AI coding assistants or LLM-based tooling in day-to-day engineering work

Strong interpersonal and communication skills — comfortable bridging network engineering and software teams

Highly motivated, able to grasp complex concepts and learn quickly

Proven performance in a dynamic, fast-growing organization

Software development experience a plus

Nice to Have

CCIE-level certification or advanced knowledge of multiple network vendor and cloud products

Strong knowledge of cloud infrastructure deployment (AWS, Azure, GCP, or equivalent)

12+ years in network engineering, network design, or network equipment design & development

5+ years working with infrastructure in any capacity

Hands-on implementation experience with multivendor routers/switches and technologies such as:

Data center architectures (EVPN/VXLAN, ERB, CRB)

Campus designs (Cisco Campus Fabric/SDA)

SD-WAN (Cisco/Viptela, Versa, VeloCloud, Silver Peak)

Security products

Experience with AI/ML-assisted network operations, AIOps platforms, or network observability tooling

A builder mentality — side projects, home lab, personal automation or hardware projects are a genuine plus