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Network Automation Engineer

2 weeks ago

Bengaluru, Karnataka, India Swift Strategic Solutions Inc Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Our technology services client is seeking multiple
Network Automation Engineer
to join their team on a contract basis. These positions offer a strong potential for conversion to full-time employment upon completion of the initial contract period. Below are further details about the role:

Role: Network Automation Engineer

Experience: 3- 15 Years

Location: Bengaluru

Notice Period: Immediate- 15 Days

Mandatory Skills: Private Cloud & Networking skills, Ansible / Python, Golang

Job Description:

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:
  • 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).

If you are interested, share the updated resume to
ravi,