Network Automation Engineer

Role: Network Automation Engineer

Job Title: Network Automation Engineer Private Cloud Datacenter

Network Automation Engineer

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 (HPC)

   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.
• Stay updated on emerging technologies in network automation, SDN, and private cloud networking.

Required Skills & Experience:

• 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

  .

Good to Have:

• GoLang

   experience for building scalable and high-performance automation tools.
• Familiarity with 

  Infrastructure-as-Code (IaC)

   tools like Terraform or Pulumi.
• Exposure to 

  Kubernetes networking (CNI plugins)

   and 

  containerized workloads

  .
• Understanding of 

  AI/ML workload characteristics

   and their impact on network design and performance.
• Experience with 

  SDN solutions

   (e.g., Cisco ACI, VMware NSX, NVIDIA Cumulus).