About the job
At Crusoe Energy Systems, our Production Engineering (PE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The SDN-focused PE role is responsible for ensuring the availability, performance, and scalability of Crusoe's cloud networking services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant networking systems at scale.
Responsibilities
Build automation and self-healing tools to monitor and maintain Crusoe's software-defined networking (SDN) infrastructure
Drive reliability initiatives focused on routing convergence, traffic engineering, policy enforcement, and fault isolation
Implement and maintain high-performance virtualized networking services (e.g., overlays, service meshes, programmable data planes) that support large-scale AI compute clusters
Support user-facing networking services with a focus on availability, latency reduction, performance tuning, and adherence to error budgets
Investigate and resolve networking-related incidents using deep telemetry, flow logs, and packet-level analysis
Partner with hardware and kernel teams to optimize network stacks, drivers, and control planes
Contribute to the architecture of fault-tolerant, scalable SDN backends tailored for AI-first cloud environments
Qualifications
Minimum
Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
5+ years of professional experience in PE, systems, or networking engineering
Demonstrated experience automating network provisioning, configuration, and remediation
Hands-on experience with SDN platforms and protocols (e.g., Open vSwitch, ONOS, Tungsten Fabric, Calico, Cilium, EVPN/VXLAN)
Proficiency in a programming language such as Python, Go, or C
Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet
Deep knowledge of Linux internals with a focus on networking subsystems, kernel modules, and packet scheduling
Familiarity with network protocols such as BGP, OSPF, IS-IS, MPLS, and network virtualization technologies
Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker), particularly around CNI plugins (Calico, Cilium) and Kubernetes-layer service networking
Excellent incident response, troubleshooting, and documentation practices
Experience with building and operating managed networking services at scale (AWS VPC, Transit Gateway, GCP VPC, Azure Virtual Network)
Excellent communication skills
Preferred
No preferred qualifications listed.