Engineer - Global IP and Ethernet Engineering

7 hours ago

Chennai, Tamil Nadu, India Tata Communications Full time ₹ 4,50,000 - ₹ 9,00,000 per year

About The Company
Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

We are seeking a motivated
Entry-Level Network Engineer
to join our Network Engineering team. The ideal candidate will have a strong foundation in
switching, routing
, with an interest in
AI/ML and cloud networking technologies
. The role involves hands-on exposure to modern network operations, network virtualization, and VNF deployments.

Key Responsibilities

  • Assist in the configuration, deployment, and troubleshooting of network devices, switches, and routers.
  • Support switching, routing, VLANs, STP, OSPF, BGP, EIGRP, MPLS, and VPN (IPSec, GRE, SSL) configurations.
  • Participate in network security management including ACLs, firewalls, IDS/IPS, and QoS policies.
  • Assist with MPLS Core, L2/L3 VPN, PE-CE routing, and traffic engineering tasks.
  • Work on network monitoring, performance optimization, and documentation of network topologies.
  • Support automation and scripting initiatives using Python.
  • Gain exposure to AI/ML, LLMs (e.g., ChatGPT, LangChain), network analytics, and AI-enabled network operations.
  • Participate in VNF deployment, NFV lifecycle, network virtualization, and basic cloud networking (AWS, Azure, GCP).
  • Collaborate with senior engineers on SD-WAN, network orchestration, and emerging technologies.

Required Skills

  • Fundamental knowledge of switching and routing concepts.
  • Basic understanding of MPLS, VPNs, L2/L3 VPNs, and PE-CE routing.
  • Knowledge of network security principles and monitoring tools (Wireshark, SNMP, NetFlow).
  • Exposure to Python scripting, automation, and network documentation.
  • Awareness of AI/ML, LLMs, and AI-driven network analytics concepts.
  • Understanding of network virtualization, VNF deployment, and cloud networking fundamentals.
  • Strong problem-solving, collaboration, and learning mindset.

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