Tech Lead - Infrastructure Modernization & AI Engineering
Guangzhou, Guangdong, China
CNY 144K-240K (estimate) Senior-level Full Time
Tasks
- Architect and scale AI and data engineering infrastructure
- Architect hybrid cloud infrastructure
- Automate model deployment scaling monitoring and governance
- Build enterprise AI Ops and MLOps platforms
- Drive Agile delivery and MVP rollouts
- Enforce automated testing and infrastructure as code
- Ensure infrastructure resilience and disaster recovery readiness
- Execute large scale code migration and legacy reduction
- Implement CI/CD automation and rapid experimentation
- Implement scalable containerization and cluster networking
- Implement zero trust network segmentation and security hardening
- Lead infrastructure refactoring and migration of legacy platforms
- Mentor cross-functional engineering teams
- Optimize backend infrastructure for high availability and fault tolerance
- Optimize real time data ingestion and storage pipelines
- Perform automated capacity planning and autoscaling
Perks/Benefits
- N/A
Skills/Tech-stack
AI Ops | Agile | CI/CD | Containerization | Disaster Recovery | Distributed Storage | Event Driven | Event-driven architecture | GPU clusters | GenAI | Go | Hybrid Cloud | Infrastructure as Code | Java | Kafka | Kubernetes | LLM | MLOps | Microservices | Network Segmentation | OpenShift | Python | RabbitMQ | Vector Database | Zero Trust | “as-code”
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