Senior Engineering Manager, Crusoe Energy Systems

• 10+ years of experience in network software engineering, network automation platform engineering, or infrastructure platform engineering
• 5 to 7+ years managing senior and staff-level software engineers, with demonstrated ability to build and scale a platform team
• Proven track record of architecting and shipping production-grade automation and observability systems, not just configuring or consuming existing tooling
• Deep hands-on experience building network automation platforms: architecting and owning systems that other engineering teams depend on as internal customers
• Strong fluency in network automation frameworks and tooling: Ansible, Nornir, Napalm, Salt, or equivalent. Proven experience building production CI/CD pipelines for network infrastructure, including test coverage, rollback logic, and policy validation
• Experience with network source-of-truth systems (NetBox, Nautobot, or custom CMDB) and building software-driven reconciliation loops between declared and observed network state
• Familiarity with network telemetry and observability systems: gNMI, gRPC streaming telemetry, OpenTelemetry, or equivalent synthetic probing and monitoring architectures
• Solid understanding of network protocols and SDN architectures: BGP, VXLAN, EVPN, and familiarity with control plane systems (OVN/OVS preferred) at the level needed to automate them effectively
• Experience with network modeling standards: YANG, Netconf, RESTCONF, or intent-based networking abstractions
• Strong software engineering background with fluency in Python and/or Go. Able to set code quality standards, define testing strategies, and review complex platform code at a staff engineer level
• Demonstrated ability to lead in fast-moving, execution-heavy environments: comfortable building from scratch, shipping iteratively, and owning production systems end-to-end
• Track record of managing platform teams with internal customers, able to balance roadmap commitments with operational reliability and stakeholder needs
• Clear platform mindset: you have built software that other teams depend on, defined its interfaces, and owned its reliability as a product

Desirable

• As we scale our AI infrastructure, we are investing deeply in the software systems that manage, observe, and heal our network at scale
• We 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 at scale
• You 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
• Set technical standards, review architecture and design decisions, own team performance and development
• Foster a high-ownership engineering culture focused on shipping production software, not just maintaining tooling