Network DevOps Engineer, RDMA Fabric Automation - Multiple Openings

Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. They are seeking a highly skilled NetDevOps Engineer to automate and operate their RDMA-based Ethernet fabrics, ensuring reliability and performance at a global scale.

Responsibilities:

• Automate deployment and operations of large-scale RDMA (RoCEv2) Ethernet fabrics across Vultr data centers
• Build Ansible and Python-based frameworks to provision, validate, and remediate underlay and overlay networks
• Integrate network automation with Vultr’s source-of-truth systems (NetBox, OpsMill) for intent-driven configuration and validation
• Develop telemetry ingestion and correlation pipelines (gNMI, Prometheus, Kafka, custom collectors) for real-time network health and performance metrics
• Collaborate with platform, orchestration, and product engineering teams to optimize RDMA performance, PFC/ECN behavior, and path symmetry across fabrics
• Implement CI/CD workflows for network configuration changes — validation, pre-checks, and rollbacks
• Investigate complex network behaviors across layers — flow hashing, congestion domains, ECMP, and overlay interactions
• Contribute to the design of next-generation GPU and AI interconnect fabrics, ensuring seamless integration into Vultr’s global network architecture

Requirements:

• Solid understanding of modern data center networking: EVPN-VXLAN, BGP, MLAG, QoS, and traffic engineering
• Deep familiarity with RoCEv2, RDMA transport tuning, ECN/PFC, and lossless Ethernet design
• Strong experience with automation frameworks like Ansible, and languages like Python, Golang, Rust, or PHP
• Comfort working with telemetry and monitoring stacks — Prometheus, Grafana, Loki, ELK, or similar
• Previous experience integrating with NetBox, Nautobot, OpsMill or similar for topology and configuration source-of-truth
• Familiarity with CI/CD systems (GitHub Actions, Jenkins, ArgoCD) for continuous delivery of network automation
• Strong Linux networking background, including namespaces, netlink, and system-level debugging