智能驾驶数据平台后端开发工程师(Python)_XC
Tasks
- Build data ingestion, processing, and storage pipelines
- Collaborate with algorithm labeling simulation and data engine teams
- Design backend data platform systems
- Design service interfaces and APIs
- Develop and optimize backend services
- Ensure high availability for large scale data
- Implement AI-assisted development workflows
- Implement data acquisition task scheduling and processing modules
- Improve unit testing and code review quality
- Manage metadata and permissions
- Optimize performance, stability, and scalability
- Review verify and improve generated code
- Standardize data pipelines and platform engineering practices
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS Lambda | Axum | C++ | Cloud Native | Code review | Cost Optimization | Docker | Docker Compose | Elastic scalability | FastAPI | Gin | Go | Go Micro | Kubernetes | PostgreSQL | Prompt engineering | Pydantic | Python | Ray | Redis | Rust | Serverless | Service Deployment | Tokio | Unit Testing
Education
Roles
Backend | Backend Developer | Developer | Engineer | Software Engineer
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