Senior Enterprise Network Engineer

Location: Singapore

Company

Nebius builds a full-stack AI cloud platform for data and model training, inference, and production deployment, with large-scale infrastructure across compute, storage, networking, and applied AI.

What you will do

• Design, implement, and optimize scalable, secure, and highly available wired and wireless enterprise networks.
• Own connectivity between branch offices worldwide and standardize network architecture and operations with global teams.
• Operate and improve remote access infrastructure, including VPN capacity planning and resiliency.
• Deploy and maintain network automation and monitoring tools while driving automation-first practices.
• Diagnose cross-region and cross-provider incidents, perform root cause analysis, and implement preventive measures.
• Evaluate new network equipment and technologies and manage telecom-provider escalations, SLAs, and service improvements.

Requirements

• In-depth knowledge of TCP/IP and dynamic routing protocols.
• Production-grade automation experience with Python, Go, or another popular programming language.
• Proficiency in Unix system administration.
• Hands-on experience with enterprise network hardware from vendors such as Cisco, Aruba, Arista, Extreme, or Juniper.
• Ability to work independently and own outcomes end to end in a senior or lead capacity.
• Applicants must already be authorized to work in Singapore and provide proof of employment eligibility.

Nice to have

• Experience with Ansible, Terraform, NetBox, Nornir, or SaltStack.
• Experience designing and operating high-load distributed systems.
• Experience building high-density enterprise wireless networks at CWNA level or higher.
• Working knowledge of IPv6.

Culture & Benefits

• Competitive compensation and opportunities for career growth and learning.
• Flexibility and ownership in a collaborative, innovative environment.
• Opportunity to work on impactful AI projects.
• International environment with global engineering teams.
• Fast-paced work focused on meaningful impact and shaping the future of AI.