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Senior Network Capacity, Performance Engineer at Verizon | JobVerse
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Senior Network Capacity, Performance Engineer
Verizon
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Senior Network Capacity, Performance Engineer
Chennai, Tamil Nadu, India
Full Time
3 weeks ago
Visa Sponsorship
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Key skills
Switching
AI
Machine Learning
ML
Analytics
Leadership
About this role
Role Overview
Establish enterprise-wide capacity and performance engineering standards to ensure alignment with business growth and reliability objectives.
Maintain End-to-End (E2E) visibility of traffic flows across the global network, including retail, office, and data center environments.
Provide critical data and architectural support to engineering teams for capacity growth and capital planning.
Design, implement, and deploy machine learning models to improve the accuracy of capacity predictions and detect unusual usage patterns.
Proactively identify network anomalies and bottlenecks before they impact business operations.
Develop and deliver executive-level reporting on network trends, health, and long-term forecasts.
Collaborate with business stakeholders to gather requirements and provide accurate traffic forecasts for upcoming projects.
Evaluate and recommend advanced capacity planning tools and technologies, specifically focusing on the integration of Digital Twins and AI.
Build Low Level Design (LLD) diagrams and engineering artifacts to support the deployment of monitoring and telemetry solutions.
Partner with IT leadership to align capacity strategies with digital transformation and infrastructure modernization goals.
Provide technical guidance and mentorship to junior capacity engineers within the team.
Requirements
Bachelor’s degree or seven or more years of relevant work experience.
Experience in enterprise network architecture, performance engineering, or capacity planning.
CCNP certification
Valid CCNP certification in Routing and Switching, or other relevant tracks.
Prior experience leading capital planning initiatives or large-scale infrastructure forecasting.
Possesses strong scripting expertise, with proficiency in Data Analytics and AI/ML.
Tech Stack
Switching
Benefits
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities
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