Network Architect / Consultant

Kyndryl

. Lead the design and evolution of complex SD-WAN, enterprise campus network, high-density WLAN, and network security architectures .

Posted 10/12/2026full-timeBeijing • ChinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evolving complex SD-WAN and enterprise network architectures, with a strong focus on AI-driven solutions and network automation. Proficient in leading technical teams, establishing network standards, and providing hands-on guidance to engineers.

Highest-signal resume keywords

Network Architecture PlanningAI-Driven Network SolutionsInfrastructure as Code ImplementationCCIE / HCIE CertificationLarge-Scale Network Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Network SecuritySD-WANData Center NetworksPython ProgrammingAnsibleInfiniBandNVLinkRoCEv2AI LLMsTechnical Documentation

Soft Skills

Fluent English CommunicationTechnical Enablement

Tools & Technologies

AI Traffic Steering SystemsNetwork Automation PlatformsIntelligent Traffic Steering

Certifications & Qualifications

CCIEHCIE

Industry Keywords

Enterprise Campus NetworkHigh-Density WLANO&MDistributed Communication Mechanisms

Tech Stack

Tools & technologies

AnsiblePython

About the role

Key responsibilities & impact

Lead the design and evolution of complex SD-WAN, enterprise campus network, high-density WLAN, and network security architectures
Serve as the highest technical escalation point for critical incidents and complex network issues
Establish enterprise network standards, guidelines, and SOPs
Provide code reviews, technical enablement, and hands-on guidance to junior and mid-level engineers
Drive Infrastructure as Code implementation
Use LLMs to architect and develop network automation platforms, intelligent traffic steering systems, and network self-healing infrastructure
Lead planning, deployment, and performance tuning of AI Data Center Networks using RoCEv2, InfiniBand, or NVLink architectures
Shape enterprise standards and develop AI-driven network solutions
Travel for business as required

Requirements

What you’ll need

Associate degree or higher in Computer Science, Communications, Network Engineering, or related fields
Extensive experience in large-scale network architecture planning and O&M
Technical capabilities equivalent to CCIE / HCIE certification in network engineering practice and architecture design
Proven expertise and large-scale implementation track record in 1–2 key domains: Data Center Networks (DCN), WAN/SD-WAN, Enterprise Campus Networks, High-Density WLAN, or Network Security
Proficient in English reading and writing for technical documentation and collaboration
Deep understanding of distributed communication mechanisms for AI model training/inference
Hands-on experience deploying, tuning, or operating InfiniBand, NVLink, or large-scale RoCEv2 lossless networks
Proficient in using leading AI LLMs, such as ChatGPT, Claude, DeepSeek, Qwen, and MiniMax
Strong programming skills in Python, Ansible, and similar tools
Fluent spoken English communication skills

Benefits

Comp & perks

Flexible, supportive environment
Well-being prioritized
Dynamic, hybrid-friendly culture
Be Well programs supporting financial, mental, physical, and social health
Personalized development goals and continuous feedback
Certifications with Microsoft, Google, and Amazon
Coaching and hands-on learning experiences
Cutting-edge learning opportunities
Career path and development tools