Network Automation Engineer

2 days ago


Bengaluru, India People Prime Worldwide Full time

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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