16 дней назад
Network Support Engineer (AI/Network Automation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Network Support Engineer (AI/Network Automation): Supporting and troubleshooting enterprise WAN, campus, and branch networks with an accent on high availability, AI-empowered operations, and NetDevOps practices. Focus on generating Python and Shell automation scripts, analyzing network logs, testing and deploying network equipment, and collaborating with senior architects on advanced network projects.
Location: Based in Shenyang or Beijing, China, with hybrid/remote flexibility and short-term regional business travel
Company
operates and modernizes mission-critical technology systems for leading businesses, using AI-powered insights to support smarter decisions and innovation.
What you will do
- Maintain, monitor, and troubleshoot enterprise WAN, campus, and branch office networks to ensure high availability and reliable connectivity.
- Use AI large language models to improve network operations, analyze system logs, and maintain network architecture documentation.
- Generate and refine network automation scripts using Python and Shell.
- Assist senior architects with network equipment testing, cutover, and deployment.
- Collaborate with cross-functional teams and apply emerging network architectures and AI tools to daily operations.
Requirements
- Associate degree or higher in Computer Science, Network Engineering, Telecommunications, or a related field.
- Fresh graduates with strong learning ability and junior-to-mid level network engineers are welcome.
- Solid understanding of the OSI seven-layer model and TCP/IP, with practical configuration knowledge equivalent to CCNP or HCIP level.
- Proficient English reading and writing is required for technical documentation and communication.
- Strong logical thinking, communication, collaboration, and multitasking skills.
- Availability for short-term regional business travel.
Nice to have
- Fluent spoken English.
- Experience using mainstream AI LLMs such as DeepSeek, Qwen, MiniMax, ChatGPT, or Claude with prompt engineering.
- Practical experience combining AI LLMs with network or code automation through academic, university lab, or open-source projects.
Culture & Benefits
- Hybrid-friendly work environment with support for employee well-being.
- Continuous professional learning and exposure to next-generation network architectures.
- Career development support, personalized development goals, feedback, coaching, and hands-on learning.
- Access to certification opportunities involving Microsoft, Google, and Amazon.
- Inclusive culture focused on empathy, belonging, continuous learning, and shared success.
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