About the job
Core
Designing and operating data pipelines for collecting, loading, refining, and serving large-scale manufacturing data to enable AI and digital transformation.
Role type
Senior Data Platform Engineering / DevOps k8s Engineering
Builds
Data Lake, Data Warehouse, Data Platform, and Kubernetes-based infrastructure for AI/Big Data
Domain
Manufacturing industry + Data Engineering / Cloud Native Infrastructure
Deliverable
production ML models
Required skills
Data pipeline design and operation, Data Lake/Warehouse/Platform architecture, Kubernetes (k8s) cluster architecture, Cloud-native networking (CNI), CI/CD and GitOps pipelines, LLM and Agent-based AI technology application, Container-based infrastructure design and operation
Preferred skills
CNCF-based data platform development, Large-scale manufacturing data processing and performance tuning, On-premise Big Data Cluster operation, Data governance and quality management, Open-source AI/Data frameworks, High availability and scalability design, MLOps/LLMOps environment integration, RAG and VectorDB construction, Ontology development, Global communication in foreign languages
Technologies
Kubernetes, CNCF, Cilium, LLM, Agent, VectorDB, RAG, Open-source AI/Data frameworks
Responsibilities
Design and operate data pipelines for manufacturing data collection and serving, Architect and build large-scale Kubernetes clusters for AI platforms, Apply CI/CD and GitOps pipelines for containerized infrastructure, Investigate and apply latest AI trends (LLM, Agent), Collaborate on AI/Data/Platform projects
Seniority
Senior, hands-on IC