Engineering III Specialist-network Engineer

Verizon Verizon · Telecom · Hyderabad, India +1

Network Automation Engineer responsible for monitoring network landscape, identifying trends, and developing programmatic solutions. Leverages AI coding tools for prototyping and deployment of network utilities and dashboards, focusing on scalability, clarity, and efficiency. Requires strong Python, network foundation, and experience with Generative AI tools.

What you'd actually do

  1. proactively monitor the network landscape by reviewing NMC tickets, alarm data, and existing automation frameworks across multiple network vendor stacks to identify trends and surface new opportunities for innovation.
  2. dive deep into various backend systems to evaluate workflow performance and determine business impact, effectively synthesizing complex data points into actionable, programmatic strategies.
  3. By leveraging modern AI coding tools, you will rapidly prototype and deploy robust network utilities.
  4. staying in constant synchronization with our US-based team, you will ensure that every line of code and every automated solution directly supports our global operational needs and improves the overall health of the network.

Skills

Required

  • Python coding experience
  • network automation
  • APIs (RESTCONF/NETCONF)
  • Netmiko
  • Nornir
  • NAPALM
  • Requests
  • networking principles
  • CCNA or CCNP level knowledge
  • Generative AI tools
  • GitHub Copilot
  • ChatGPT
  • Claude
  • data analysis
  • internal ticketing and notification systems
  • vRepair
  • Remedy
  • UTP
  • Echo
  • schedule overlap with US day shifts

Nice to have

  • CCNA
  • CCNP
  • Cisco DevNet (Associate/Professional) certifications
  • Optical network automation
  • Packet network automation
  • TDM network automation
  • Cisco IOS-XE/XR automation
  • Juniper automation
  • Arista automation
  • Computer Science degree
  • Information Technology degree
  • Electrical Engineering degree
  • NMC operations
  • ticket worklog entries
  • alarm attributes
  • system architecture optimization
  • global collaboration skills

What the JD emphasized

  • automation mindset
  • modern software developer's toolkit
  • independent investigative skills
  • collaborative spirit
  • scalability, clarity, and efficiency
  • Python Expertise
  • network automation
  • APIs (RESTCONF/NETCONF)
  • modern automation libraries
  • AI-Driven Development
  • Generative AI tools
  • coding assistants
  • Data Analysis
  • complex, high-volume datasets
  • System Agility
  • Schedule Flexibility