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# Staff Software Engineer, Network Automation

- **Company:** Crusoe's Inc
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $215,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Border Gateway Protocol, Configuration Management, System Configuration, Continuous Integration, Data Centers, Networking Hardware, Jinja (Template Engine), Junos, Python (Programming Language), Network Configuration and Change Management, Netconf, Network Architecture, Ansible, Prometheus, Software Engineering, Data Streaming, AI Infrastructure, Model-Driven Development, Grafana, Juniper, Machine Learning Operations, Open Network Automation Platform
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=014f40592920d130

## About the Role

Do you have experience in Software engineering?, * 8+ years of network engineering experience with a demonstrated focus on production network automation and infrastructure as code

 * Production-quality software engineering skills in Python or Go, with CI/CD integration and platform-level thinking
 * Hands-on experience with model-driven automation including gNMI, OpenConfig, NETCONF, and YANG
 * Experience contributing to or owning a network source of truth platform such as NetBox or Nautobot
 * Strong knowledge of Arista (EOS) and/or Juniper (Junos) in leaf-spine DC fabric environments
 * Solid understanding of BGP, EVPN-VXLAN, and LLDP at data center scale
 * Experience building or contributing to observability platforms using Prometheus, Grafana, and streaming telemetry tooling

Bonus Points:

 * Experience with NVIDIA/Mellanox platforms in production environments
 * Familiarity operating at fleet scale across thousands of network devices in multi-region environments
 * Exposure to closed-loop, event-driven automation and auto-remediation systems
 * Experience in hyperscale or internet-scale infrastructure (cloud providers, large CDNs, or AI/ML infrastructure companies)

## Description

Crusoe is seeking a Staff Network Automation Engineer to design and deliver the automation frameworks, observability platforms, and self-healing workflows that keep our global network fleet running at scale. This role sits at the intersection of Network Engineering, Software Engineering, and Infrastructure Reliability - and is central to Crusoe's mission of building AI infrastructure that scales intelligently, not just bigger.

You're a hands-on engineer who thinks like a software developer and operates like a network expert. You'll contribute to production automation systems that others depend on, partner with Architecture and Operations teams, and help raise the engineering bar across the org. This is a full-time role for someone who wants to work on hard problems at hyperscale.

What You'll Be Working On:

 * Network Automation Platform: Contribute to the technical roadmap for Crusoe's automation stack, from source of truth and config generation through day-2 operations and closed-loop remediation across our global fleet.
 * Source of Truth: Help design and maintain the authoritative data model (NetBox, Nautobot, or equivalent) that drives network configuration, validation, and operational state across teams.
 * Intent-Based Configuration Pipelines: Build and maintain declarative, model-driven configuration systems using Python, Nornir, Ansible, and Jinja2, treating the network as code and eliminating configuration drift.
 * Model-Driven Automation: Contribute to Crusoe's gNMI, OpenConfig, and NETCONF/YANG strategy for telemetry collection, configuration management, and state validation across multi-vendor fabrics.
 * Self-Healing Workflows: Build and maintain event-driven auto-remediation systems that detect faults, correlate telemetry, and resolve known failure modes without human escalation.
 * Observability Platform: Help build and improve Crusoe's telemetry, metrics, alerting, and dashboarding stack including Prometheus, Grafana, and streaming gNMI collectors.
 * Architecture Partnership: Work closely with Network Architecture to ensure designs are automation-first - deployable, validatable, and operable programmatically at scale.


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