Senior Backend Engineer - Discovery

Build systems that understand the world’s most complex networks

At IP Fabric, we build software that continuously discovers, models, and validates enterprise networks at scale. Our platform gives engineers a single, reliable source of truth about their infrastructure—across vendors, technologies, and environments.

Founded by network engineers and now a fast-growing post-Series B company, IP Fabric operates at the intersection of distributed systems, networking, and data-intensive backend engineering. We’re scaling globally, but we’re deliberate about how we build: with ownership, technical rigor, and long-term thinking.

The Challenge

Enterprise networks are massive, heterogeneous, and constantly changing. Discovering them accurately is a hard distributed systems problem.

Our Network Discovery Platform scans hundreds of thousands of devices, traverses multiple network domains in parallel, collects configuration and state data, and continuously reconciles it into a consistent model. The system must be fast, fault-tolerant, observable, and correct—even when the network isn’t.

We are redesigning this platform with a parallel, horizontally scalable architecture, and we’re looking for a senior backend engineer who wants to shape how this system works at its core.

What You’ll Do

As a Senior Backend Engineer, you will work on one of the most critical parts of IP Fabric’s product. You’ll design and build backend services that operate deep in the engine room of the platform - where performance, concurrency, and correctness matter more than frameworks.

This is a hands-on engineering role with real architectural influence. You will own problems end-to-end, make design decisions, and see your work running in production on complex customer environments.

You’ll collaborate closely with other backend engineers, network experts, and platform teams - but you’ll also have the autonomy and trust expected from a senior engineer.

• Designing and implementing distributed backend services for large-scale network discovery
• Building systems that perform highly parallel processing across network segments
• Defining service boundaries, data flows, and failure-handling strategies
• Improving performance, scalability, and resilience of core platform components
• Containerizing and operating services in Docker and Kubernetes environments
• Designing deployment and scaling strategies for on-prem and cloud installations
• Working primarily in TypeScript / Node.js, with opportunities to build services in Go
• Integrating messaging, caching, and persistence layers (RabbitMQ, Redis, PostgreSQL)
• Raising the bar for observability, debugging, and operational excellence