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6 days ago
We are seeking a seasoned Network Automation Engineer to design, implement and optimize automation solutions for our datacenter network. This role involves automating configuration, provisioning and monitoring of high-performance networking devices to ensure low latency, high throughput and reliability in a mission-critical environment.
Key Responsibilities:- Develop and maintain network automation frameworks for large-scale datacenter environments supporting AI/ML workloads.
- Build Ansible playbooks, roles and modules to automate device configurations, software upgrades and compliance checks across multi-vendor environments.
- 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 requirements such as low latency, high throughput and fault tolerance.
- Participate in network architecture reviews to provide automation insights and recommendations.
- Document automation processes, workflows and operational guidelines for the datacenter network.
- 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).
- Strong problem-solving skills and ability to operate in a high-availability, mission-critical datacenter environment.
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