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Network Automation Engineer

Network Automation Engineer

People Prime WorldwideDelhi, IN
30+ days ago
Job description

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Client : LTIMINDTREE

Job Type : C2H

Role : Network Automation Engineer

Experience : 6+ Years

Work Location : Bengaluru

Payroll on : People Prime World Wide

Notice : 0 to 15 days

Job Title : Network Automation Engineer – Private Cloud Datacenter

We are looking for an experienced Network Automation Engineer to design, implement, and optimize automation solutions for our Private Cloud datacenter network, which underpins large-scale AI / ML GPU and TPU workloads. This role focuses on automating configuration, provisioning, and monitoring of high-performance networking devices to ensure low latency, high throughput, and reliability in a mission-critical environment. This role involves automating network device management as well as OS-level network configurations on servers. Expertise in Ansible and Python is essential, and experience with GoLang is a strong plus.

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 :

    • o Network stack configuration (sysctl tuning, TCP / UDP parameters).

    o NIC bonding, SR-IOV, DPDK, and kernel bypass techniques.

    o VLANs, routing tables, MTU adjustments, jumbo frames.

    o 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).
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