Network Engineer III

Responsibilities

Deployment

Deploys new hardware (single-vendor) in accordance with documented guidelines

Engages with GNA in the validation of new hardware

Conducts NOC training and performs RMA actions

Participates in port, device, and customer migrations

Performs deployments of network tools and new features

Responsible for new feature enablement

Applies automation (Python, scripting) to streamline deployment processes

Product Development Lifecycle Engagements

Requirement Phase

Provides feedback as the voice of the customer based on customer queries and trouble tickets

Leverages data analytics and AI tools to identify recurring issues and improvement areas

Test Phase

Participates in SIT and UAT for new features and network devices

Performs comprehensive testing and identifies key customer issues

Applies automated test frameworks and validation scriptsx

Sustaining Phase

Trains and transitions from deployment teams

Manages and sustains deployments to achieve high customer satisfaction

Uses AI-assisted monitoring and predictive analysis to improve stability

Service Delivery

Performs network service fulfillment (quote-to-cash) for network and datacenter products

Ensures successful fulfillment of software-triggered provisioning (e.g., VCs, RIs)

Reviews metrics and identifies efficiency improvements

Implements automation and data-driven optimization for fulfillment processes

Operations / Reliability Engineering

Troubleshoots and resolves network faults (both reactive and proactive detection)

Performs preventive maintenance to minimize incidents

Utilizes AI-based monitoring tools (e.g., anomaly detection, predictive alerts)

Develops scripts/tools for faster root cause analysis and resolution

Innovation

Participates in Sparkathon and innovation activities

Uses lab environments for technical practice

Participates in chaos engineering drills (e.g., Simian Army)

Develops automation tools (Python, APIs) for chaos testing and operational resilience

Explores AI/ML use cases for network optimization and incident prediction

Technical Skills

Programming / Automation

Python, scripting (required)

API integration (REST, network automation)

Infrastructure as Code (nice to have)

AI / Data

Basic understanding of AI/ML concepts

Experience with data analysis, log analysis, and anomaly detection

Familiarity with AI-driven monitoring tools (preferred)

Network Architecture

Strong understanding of:

IP networking (L2/L3, BGP, routing)

Data center architecture

Interconnection services

Scalability and redundancy design

Knowledge of modern network architecture (cloud, hybrid, SDN)

Qualifications

5+ years of experience in Network Operations / Engineering

Bachelor’s degree (or equivalent experience)

Strong understanding of network architecture and operations

Experience in coding/automation (Python preferred)

Interest or experience in AI-driven operations (AIOps) is a plus

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Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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