Network Automation Engineer

Location: Bengaluru

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 :
Contract

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 Dev Ops 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 (Git Lab, Jenkins) for deploying automation at scale.

· Knowledge of network observability, telemetry, and streaming protocols (gRPC, sFlow, SNMP, Influx

DB, 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).