中/高级后端开发工程师（Ai算力平台）
Tasks
- Build AI compute platform backend services
- Build GPU resource management and scheduling resource pools quotas queueing cost tracking utilization analysis
- Collaborate with algorithms SRE and infrastructure teams to improve stability observability release efficiency
- Create training and fine tuning task system task submission queue state machine checkpoint and artifact management
- Develop online inference service management model registration model deployment versioning and rollout
- Implement API gateway tenant access control token certificate quota audit and billing
- Integrate Kubernetes and cloud AI platforms for orchestration and automation
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Blue-Green Deployment | Blue/green | Circuit Breaker | Fine Tuning | Go | Gray Release | HPA | Ingress | Java | Kubernetes | Kubernetes CRD | Kubernetes Operator | Logging | MLOps | Message Queue | Model Deployment | Monitoring | MySQL | Object storage | Observability | Online Inference | PostgreSQL | PyTorch | Python | Rate Limiting | Redis | Retry) | Rollback | Task Scheduling
Education
Roles
Backend | Backend Developer | Developer | Engineer | Software Engineer
Regions
Countries
States
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