Network Engineer III (Automation & AIOps)

EQUINIX ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Equinix Asia-Pacific specializes in digital infrastructure, enabling rapid connectivity and AI‑driven network operations. This role focuses on design, planning, and deployment of network infrastructure with automated tooling and AI-enabled insights to improve reliability and scalability.

The candidate will work across data centers, interconnection services, and cloud/hybrid environments, applying coding and automation to reduce manual overhead and drive proactive reliability.

Qualifications

• Requires 5+ years in Network Operations or Network Engineering.
• Strong understanding of IP networking (L2/L3, BGP).
• Experience applying coding and automation to operational tooling (Python preferred).

Responsibilities

• Deploys new hardware and manages end-to-end deployment lifecycles.
• Builds automation to streamline deployment processes and reduce manual touchpoints.
• Uses AI/ML insights for network optimization and predictive analytics.

Skills

Python scripting

REST API integration

AIOps / AI for network ops

Education

Bachelor's degree or equivalent practical experience

Tools

Python

Infrastructure as Code

AI monitoring tools

Job description

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, 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 standardise 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 centre 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 optimisation for fulfillment processes.

Operations and Reliability Engineering

• Troubleshoots and resolves network faults, both reactive and through proactive detection
• Performs preventive maintenance to minimise incidents
• Utilises 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 programmes 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 optimisation and incident prediction
• Utilises 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 centre 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 an Equal Employment Opportunity and, in the U.S., an Affimative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, colour, religion, creed, national or ethnic origin, ancestry, place of birth, cit