Engineer - Global IP and Ethernet Engineering

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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 CommunicationsWe 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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Tata Communications logo
Tata Communications

Telecommunications

Chennai

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