Ai全栈研发工程师-大数据引擎/云原生方向
Tasks
- Build Kubernetes cluster and cloud native infrastructure
- Build big data engine components
- Conduct technology research and prototyping
- Configure manage monitor and automate operations
- Develop data collection integration and ETL tools
- Develop distributed data platform
- Enhance fault self healing and observability
- Implement task scheduling and engine monitoring
- Improve compute resource management for CPU and GPU
- Optimize distributed system architecture and stability
- Optimize resource isolation and scheduling
- Perform performance tuning and feature expansion
- Select deploy and optimize big data ecosystem components
- Support deployment delivery and elastic scaling
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Hadoop | Automation | C# | C++ | CPU GPU | CPU GPU Scheduling | Container Networking | Containers | Data Structures | Data Structures and Algorithms | Databases | Distributed Storage | Distributed Systems | Doris | ETL | GPU scheduling | Go | HDFS | Horizontal Autoscaling | Java | JavaScript | Kubernetes | Linux | OLAP | Observability | Performance Tuning | Presto | Python | Resource Isolation | Service Deployment | Spark | TCPIP | Task Scheduling | YARN
Education
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