Tech Lead - Infrastructure Modernization & AI Engineering
Guangzhou, GD, CN, 510620
CNY 144K-240K (estimate) Senior-level Full Time
Tasks
- Architect hybrid cloud infrastructure
- Architect scalable AI and data engineering infrastructure
- Automate model deployment scaling monitoring
- Build AI Ops and MLOps platforms
- Drive Agile delivery and MVP rollouts
- Enforce infrastructure compliance security hardening zero trust
- Ensure disaster recovery readiness
- Implement CI/CD automation
- Implement automated capacity planning and autoscaling
- Implement containerization strategies with Kubernetes
- Lead infrastructure modernization and migration
- Mentor and guide engineering teams
- Optimize microservices infrastructure for availability
- Optimize real time data ingestion and storage pipelines
- Reduce technical debt with infrastructure as code
- Refactor legacy infrastructure platforms
Perks/Benefits
- N/A
Skills/Tech-stack
AI Ops | Agile | Automated testing | Autoscaling | CI/CD | Containerization | Data Streaming | Data mesh | Disaster Recovery | Distributed Databases | Distributed Storage | Event Driven | Event-driven architecture | GPU clusters | Go | Hybrid Cloud | Infrastructure as Code | Java | Kafka | Kubernetes | LLM APIs | Low Latency | Low Latency Networking | MLOps | Microservices | Model Deployment | Model Monitoring | OpenShift | Python | RabbitMQ | Real Time | Real-Time Data Streaming | Real-time Data | Security Hardening | Trust & Security | Vector Databases | Zero Trust | Zero Trust Security | “as-code”
Education
N/A
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