Senior Engineering Manager, Management Plane Systems

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.

As we scale our AI infrastructure, we are investing deeply in the software systems that manage, observe, and heal our network  are hiring a Senior Engineering Manager, SDN Management Plane to lead the team responsible for the automation, observability, configuration management, and policy enforcement layer that runs across our entire network fleet. This is a senior software engineering leadership role. The Management Plane is the horizontal layer that ties together our control and data plane systems, making our network self‑aware, self‑healing, and continuously verifiable.

You will lead a team of senior and staff software engineers while remaining deeply engaged in platform architecture, systems design, and the technical roadmap. This is not a network operations or SRE role. It is a platform engineering leadership position where your primary output is software: automation systems, observability pipelines, configuration management platforms, and the tooling that eliminates manual toil  will apply sound software engineering principles to hard networking problems, including the application of GenAI and machine learning to network operations.

• Own the architecture, development, and production operation of Crusoe's SDN Management Plane, the automation and observability layer that manages our network fleet across all regions.
• Build and operate CI/CD pipelines for network configuration: automated testing, policy validation, and push‑on‑green delivery of network changes from intent to production.
• Design and implement the software systems that enforce reconciliation between declared and actual network state, detect configuration drift, and trigger automated remediation workflows.
• Define provisioning and onboarding automation for new nodes, regions, and customer environments, ensuring consistent, policy‑compliant network configuration at scale.

• Drive the design of network observability systems including streaming telemetry (gNMI/gRPC), synthetic probing, anomaly detection, and real‑time traffic monitoring across GPU clusters.
• Design and implement self‑healing network capabilities: closed‑loop automation with appropriate guardrails that detects, diagnoses, and resolves network faults without human intervention.
• Set the technical vision for applying GenAI and machine learning to network operations, from intelligent anomaly detection to natural‑language‑driven network management.

• Partner closely with Control Plane and Data Plane teams to ensure clean software interfaces between layers, and with infrastructure and compute teams to support GPU cluster networking requirements.
• Act as the internal platform owner for network automation: treat other engineering teams as customers with real product requirements, not just consumers of scripts.

• Lead, mentor, and grow a team of senior and staff‑level software and network automation engineers.
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