Principal Software Engineer--M365 Storage Team
CNY 144K-240K (estimate) Senior-level Full Time
Tasks
- Apply AI assisted approaches for system design analysis and automation
- Build AI native engineering practices for development testing and operations
- Conduct root cause analysis for production distributed system issues
- Define long-term technical strategy
- Design storage engine and database architectures
- Design systems-level software
- Eliminate scalability reliability and performance bottlenecks
- Establish performance engineering standards
- Implement query optimization and storage efficiency
- Improve replication synchronization and metadata management
- Influence AI transformation strategy through technical innovation
- Integrate AI into engineering decision making and operational workflows
- Lead distributed storage system architecture
- Modernize platform components for AI workloads
- Optimize performance across storage networking caching concurrency and data access
- Re architect legacy services using AI native principles
Perks/Benefits
- N/A
Skills/Tech-stack
AI Assisted Development | Automation | C# | C++ | Caching | Concurrency Control | Consistency models | Data durability | Database Design | Disaster Recovery | Distributed Systems | Fault Tolerance | Go | High Availability | High Throughput | I/O | I/O subsystems | Java | JavaScript | Low Latency | Memory Management | Metadata Management | Networking | Observability | Performance Tuning | Python | Query Optimization | Reliability Engineering | Replication | Rust | Storage Architecture | Synchronization | Telemetry | Threading | Tiering | Transaction Processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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