
Senior Network Automation Specialist
2 weeks ago
We're on the hunt for a seasoned Network Automation Engineer to spearhead our datacenter network automation initiatives.
This is a rare opportunity to join a forward-thinking organization where you'll have the autonomy to design, implement, and optimize cutting-edge automation solutions.
About the Role- Develop and maintain high-performance network automation frameworks for large-scale datacenter environments supporting AI/ML workloads.
- Build complex Ansible playbooks, roles, and modules to automate device configurations, software upgrades, and compliance checks across multi-vendor networks.
- Design and implement Python-based automation scripts and tools to integrate with APIs, orchestration platforms, and monitoring systems.
- Automate OS core networking configurations on servers (Linux / Windows / Hypervisor) including bonding, VLANs, routing tables, kernel network parameters, MTU tuning, and NIC performance optimization.
- Collaborate with cloud infrastructure, network engineering, and DevOps teams to deliver seamless provisioning and scaling of GPU/TPU clusters.
- Ensure network automation solutions meet high-performance computing (HPC) requirements such as low latency, high throughput, and fault tolerance.
- Expertise in Ansible (playbook development, dynamic inventory, custom modules) for large-scale network automation.
- Strong proficiency in Python for scripting, API integrations (REST, NETCONF, gNMI), and device interaction (e.g., NAPALM, Netmiko, Paramiko).
- Hands-on experience with high-performance datacenter networking devices (Cisco Nexus, Arista, Juniper, Mellanox/NVIDIA Networking).
- Knowledge of Linux / Windows / Hypervisor OS core networking, including:
- Network stack configuration (sysctl tuning, TCP/UDP parameters).
- NIC bonding, SR-IOV, DPDK, and kernel bypass techniques.
- VLANs, routing tables, MTU adjustments, jumbo frames.
- Performance tuning for HPC/AI workloads.
- Deep understanding of networking concepts including BGP, EVPN-VXLAN, MPLS, QoS, and leaf-spine architectures.
- Experience in Private Cloud environments with a focus on supporting HPC/AI workloads.
- Familiarity with CI/CD pipelines (GitLab, Jenkins) for deploying automation at scale.
- Knowledge of network observability, telemetry, and streaming protocols (gRPC, sFlow, SNMP, InfluxDB, Prometheus).
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