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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

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.  If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

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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