Network Engineer

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 (Contract Position)

Role : Network Automation Engineer

Mandatory Skills : Networking, Python.

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 :

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.