Network Engineer III

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

Responsible for network design, planning, and operations, including capacity management, vendor evaluation, project management and service lifecycle management. Additionally, leverages AI-driven insights, automation, and coding skills to improve network efficiency, reliability, and scalability. Requires strong understanding of network architecture principles and modern infrastructure (DC, cloud, interconnection).

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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