Senior Network Engineer

Equinix is the world's digital infrastructure company, operating 240+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. With Equinix Metal, customers can rapidly deploy automated single-tenant infrastructure and interact with 2,100 networks and 3,000+ cloud and service providers. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

At Equinix, we help the world's digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people's lives. Our culture is based on collaboration and the growth and development of our teams.

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

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