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Staff Software Engineer, Network Automation

Crusoe
CompanyCrusoe
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted9 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (ashby)
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Description
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe is seeking a Staff Software 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. What You'll Bring to the Team: - 8+ years of software 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 understandin
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