Network Capacity & Performance Engineer

Verizon Verizon · Telecom · Hyderabad, India +1

This role focuses on network capacity and performance engineering within Verizon's global infrastructure. The engineer will be responsible for end-to-end visibility, strategic forecasting, and ensuring the network scales ahead of business demand. Key responsibilities include monitoring traffic, identifying bottlenecks, collaborating on capacity planning, developing engineering standards for monitoring tools, and supporting proof-of-concepts for new tools. The role will leverage AI-driven analytics and Digital Twin technologies where appropriate for simulation and planning.

What you'd actually do

  1. Establishing and maintaining KPIs for all network devices to ensure performance engineering standards are met across the global estate.
  2. Monitoring network and platform utilization to proactively identify potential bottlenecks and anomalies.
  3. Executing proactive capacity planning tasks to support network growth and capital planning initiatives.
  4. Collaborating with senior engineers to integrate performance data into a unified, cloud-native framework for better visibility.
  5. Developing engineering artifacts and standards for certified monitoring products like SevOne, Zabbix, and Splunk.

Skills

Required

  • Bachelor's degree or two or more years of relevant work experience
  • Experience in enterprise network architecture, performance engineering, or capacity planning
  • CCNA certification - Valid CCNA certification in Routing and Switching, or other relevant tracks
  • Prior experience leading automated network validation for large-scale digital transformation initiatives
  • Strong scripting expertise

Nice to have

  • Experience in Fortune 50 enterprise environments with complex, high-availability networking requirements
  • Relevant industry certifications such as CCIE, CISSP, or vendor-specific security certifications
  • Strong expertise in SASE frameworks, SD-WAN, and Data Center networking
  • Proficiency in Data Analytics and AI/ML
  • Hands-on experience with network testing tools (Spirent) and performance monitoring platforms
  • Deep knowledge of firewalls, proxies, and VPNs, with a focus on validating security policy changes
  • Familiarity with cloud-native security models and how they integrate with physical data center segments
  • Strong understanding of industry security standards such as NIST, ISO 27001, and CIS benchmarks
  • Excellent communication skills to articulate complex technical validation results to a global team
  • Self-motivated with the ability to work independently during high-pressure production maintenance windows

What the JD emphasized

  • enterprise network architecture, performance engineering, or capacity planning
  • CCNA certification
  • automated network validation for large-scale digital transformation initiatives
  • scripting expertise