腾讯云-云原生高级技术专家(资源调度与内存优化方向)(深圳/上海)
Core
Design and build large-scale cloud-native resource pool capabilities for memory overcommitment and scheduling, integrating Linux, virtualization, container runtimes, and Kubernetes to improve resource utilization and cost efficiency.
Role type
Senior IC cloud-native infrastructure engineer (resource scheduling & memory optimization)
Builds
Cloud-native resource pools, memory compression systems, and intelligent scheduling frameworks
Domain
Cloud infrastructure, operating systems, distributed systems
Required skills
Linux memory management, virtualization memory management, Kubernetes scheduling, resource co-location, distributed system design, performance optimization, AI-driven development workflows
Preferred skills
Memory compression implementation, online/offline co-location, custom scheduler development, Linux/KVM/Kubernetes core technology contributions
Technologies
Linux, KVM, Kubernetes, AI Agents
Responsibilities
Design and implement memory overcommitment and scheduling solutions across Linux, virtualization, and Kubernetes; Build core capabilities in memory compression, dynamic recycling, and intelligent scheduling; Establish evaluation and production governance systems for resource optimization; Drive technology from validation to large-scale production deployment.
