Network Engineer III (Automation & AIOps)
Equinix · Singapore ·
- Category
- Network engineering
- Experience
- 5+ years
- Company size
- 1000+
Equinix · Singapore ·
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Network Engineer III at Equinix focused on network design, deployment, and operations in data center environments, embedding Python-based automation, REST API integration, and AIOps (anomaly detection, predictive analytics) into daily workflows to improve efficiency and reduce manual overhead.
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.
Job Summary
Responsible for network design, planning, and operations, including capacity management, vendor evaluation, project management, and service lifecycle management, with automation and AI-driven tooling built into how the work gets done rather than layered on top of it. Applies coding, scripting, and AI-driven insights to improve network efficiency, reliability, and scalability, and to reduce manual operational overhead. Requires strong understanding of network architecture principles and modern infrastructure (data center, cloud, interconnection), along with working fluency in automation and AIOps practices.
Responsibilities :
Deployment
Deploys new hardware (Multi-vendor) in accordance with documented guidelines
Manage deployment project life cycle end to end.
Partners with hardware validation teams on qualification of new equipment
Support the Network platform operations and participate in standby.
Participates in port, device, and customer migrations, as needed.
Performs deployments of network tools and new features, and owns new feature enablement
Builds and applies automation (Python, scripting) to streamline and standardize deployment processes, reducing manual touchpoints
Product Development Lifecycle
Provides feedback as the voice of the customer based on customer queries and trouble tickets
Leverages data analytics and AI tools to surface recurring issues and improvement areas from ticket and query trends
Builds and applies automated test frameworks and validation scripts to reduce manual test cycles.
Manages and sustains deployments post-transition to achieve high customer satisfaction
Uses AI-assisted monitoring and predictive analytics to catch degradation before it becomes customer-impacting
Service Delivery
Performs network service fulfillment (quote-to-cash) for network and data center products.
Ensures successful fulfillment of software-triggered provisioning for interconnection services.
Reviews fulfillment of metrics and identifies opportunities for automation-driven efficiency gains.
Builds and implements automation and data-driven optimization for fulfillment processes.
Operations and Reliability Engineering
Troubleshoots and resolves network faults, both reactive and through proactive detection
Performs preventive maintenance to minimize incidents
Utilizes AI-based monitoring tools including anomaly detection and predictive alerting
Develops automation scripts and tooling to accelerate root cause analysis and reduce mean-time-to-resolution (MTTR)
Innovation
Participates in internal innovation programs and hackathons
Uses lab environments for technical practice and validation
Participates in chaos engineering drills to test operational resilience
Develops automation tools (Python, APIs) for chaos testing and resilience engineering
Explores AI/ML use cases for network optimization and incident prediction
Utilizes AI tools to optimised the deployment process lifecycle.
Technical Skills:
Programming and Automation
Python and scripting (required)
API integration for network automation, including REST (required)
Infrastructure as Code (nice to have)
AI and Data
Working understanding of AI/ML concepts as applied to network operations, or AIOps (required)
Experience with data analysis, log analysis, and anomaly detection (required)
Familiarity with AI-driven monitoring tools (preferred)
Network Architecture
Strong understanding of IP networking, including L2/L3, BGP, and routing
Strong understanding of data center architecture and interconnection services
Strong understanding of scalability and redundancy design
Knowledge of modern network architecture including cloud, hybrid, and SDN
Qualifications :
5+ years of experience in Network Operations or Network Engineering
Bachelor’s degree or equivalent practical experience
Strong understanding of network architecture and operations
Demonstrated experience in coding and automation applied to real operational tooling, Python preferred
Experience in AI-driven operations (AIOps) required
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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This posting is a new position within our organization.
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